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1

Millenson, Michael L. "Mobile Health Applications." Health Affairs 36, no. 6 (June 2017): 1144. http://dx.doi.org/10.1377/hlthaff.2017.0481.

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SKOLNIK, NEIL, and CHRIS NOTTE. "Mobile Health Applications." Family Practice News 42, no. 5 (March 2012): 55. http://dx.doi.org/10.1016/s0300-7073(12)70260-8.

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SKOLNIK, NEIL, and CHRIS NOTTE. "Mobile Health Applications." Internal Medicine News 45, no. 7 (April 2012): 52–53. http://dx.doi.org/10.1016/s1097-8690(12)70356-6.

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Foody, G. M. "GIS: health applications." Progress in Physical Geography: Earth and Environment 30, no. 5 (October 2006): 691–95. http://dx.doi.org/10.1177/0309133306071152.

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Kopmaz, Büşra, and Ali Arslanoğlu. "Mobile health and smart health applications." Health Care Academician Journal 5, no. 4 (2018): 251. http://dx.doi.org/10.5455/sad.13-1543239549.

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Steigner, Guido, Charles R. Doarn, Michael Schütte, David Matusiewicz, and Christian Thielscher. "Health Applications for Corporate Health Management." Telemedicine and e-Health 23, no. 5 (May 2017): 448–52. http://dx.doi.org/10.1089/tmj.2016.0162.

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7

Smith, Samuel G., and Christian von Wagner. "Health Literacy: Applications to Health Psychology." Health Psychology Update 21, no. 1 (2012): 19–26. http://dx.doi.org/10.53841/bpshpu.2012.21.1.19.

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This article aims to provide an overview of the emerging field of health literacy. It begins with a definition of health literacy and brief information on the current prevalence of low literacy levels, followed by three examples of how health literacy can be relevant to health psychology. The article then leads onto our recommendations for future research directions.
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Bila, Wendell Costa, Joel Alves Lamounier, André Everton de Freitas, Valmin Ramos Silva, Sylvia Dias Turani, and José Eduardo Dutra de Oliveira. "Stable isotopes and body composition in children: History, fundamentals, and clinical applications." Health 05, no. 08 (2013): 61–68. http://dx.doi.org/10.4236/health.2013.58a3009.

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GÜMÜŞ, Sefer, Murat KORKMAZ, Bülent KILIÇ, Ali Serdar YÜCEL, Ayhan AYTAÇ, and Fikriye TOKER. "HEALTH MARKETING AND APPLICATIONS." INTERNATIONAL REFEREED JOURNAL OF MARKETING AND MARKET RESEARCHES 01, no. 2 (August 30, 2014): 95. http://dx.doi.org/10.17369/uhpad.201429249.

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Hughes, Joel W. "Reviewing Mobile Health Applications." Health Affairs 36, no. 2 (February 2017): 383–84. http://dx.doi.org/10.1377/hlthaff.2017.0023.

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Chauhan, Sumedha, and Mahadeo Jaiswal. "A meta-analysis of e-health applications acceptance." Journal of Enterprise Information Management 30, no. 2 (March 6, 2017): 295–319. http://dx.doi.org/10.1108/jeim-08-2015-0078.

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Purpose The increasing importance of electronic health (e-health) has raised the significance of exploring the factors influencing the users’ acceptance of e-health applications. There has been an extensive usage of the technology acceptance model (TAM) in e-health applications acceptance research. However, not all TAM relationships are borne out in all the studies. There is a variation in predicted effects in several studies with different user type and application type. The purpose of this paper is to bridge a research gap by providing a holistic view of the e-health applications acceptance research by integrating the findings of existing relevant literature. Design/methodology/approach A statistical meta-analysis of the effect size of causal relationships between common TAM constructs was conducted on 111 peer-reviewed academic studies published in various journals. Findings The results confirm the validity and robustness of the TAM in e-health applications acceptance research. Further, a moderator analysis based on user type and e-health application type demonstrated that the effect size of causal relationships between TAM constructs majorly depends on the user type, but not on e-health application type. Research limitations/implications This research provides a ready reference of the existing studies on e-health applications acceptance to the researchers. Further, if researchers or practitioners want to learn more about the particular user or application type, they may find the results valuable. Practical implications This research suggests that the general public can be used as the surrogates for patients in e-health applications acceptance research. The implementation strategy found successful for medical staff may not work for general public and patients. This research also suggests ways to enhance acceptance of e-health applications among different user groups. Originality/value The research is original and is based on the existing literature and its interpretation.
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Sariyildiz, Abdurrahman Yunus, Yener Aksoy, and Mustafa Samanci. "The Effect of Mobile Health Applications on the Health Literacy of Individuals." Pakistan Journal of Medical and Health Sciences 16, no. 3 (March 31, 2022): 552–55. http://dx.doi.org/10.53350/pjmhs22163552.

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Purpose: The study aims to determine the effect of mobile health applications on the health literacy of individuals. Methods: The study is a prospective, cross-sectional survey using a quantitative method. A questionnaire form consisting of a socio-demographic part of 15 questions and a part of the "Health Literacy Index" with 25 statements was used in the research. The study population consists of a total of 450,496 people between the ages of 18-40 living in Samsun. The number of samples for the study was determined as 384, and it was conducted online on a total of 431 people using the convenience sampling method between 22.09.2021 and 20.10.2021. Results: There are significant differences between E-Nabız application usage status and access to information sub-dimension, appraisal sub-dimension, and general health literacy level. There is a significant difference between the participants' use of HES application and access to information sub-dimension, understanding information sub-dimension, appraisal sub-dimension, application sub-dimension, and general health literacy levels. There is a significant difference between gender status and access to information sub-dimension, understanding information sub-dimension, appraisal sub-dimension, practice sub-dimension, and general health literacy levels. Conclusion: Women have a higher level of health literacy than men, and individuals aged 26-40 have more increased access to information than individuals aged 18-25. In addition, individuals who actively use the E-Nabız application and HES application have a higher level of health literacy than those who do not actively use it. Keywords: E-Nabız, health literacy, HES, mobile health applications.
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13

Helbostad, Jorunn, Beatrix Vereijken, Clemens Becker, Chris Todd, Kristin Taraldsen, Mirjam Pijnappels, Kamiar Aminian, and Sabato Mellone. "Mobile Health Applications to Promote Active and Healthy Ageing." Sensors 17, no. 3 (March 18, 2017): 622. http://dx.doi.org/10.3390/s17030622.

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14

Broens, Tom, Aart Van Halteren, Marten Van Sinderen, and Katarzyna Wac. "Towards an application framework for context-aware m-health applications." International Journal of Internet Protocol Technology 2, no. 2 (2007): 109. http://dx.doi.org/10.1504/ijipt.2007.012374.

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15

Leppänen, J., J. Lähteenmäki, A. Nummiaho, and T. Laakko. "Mobile Health and Wellness Application Framework." Methods of Information in Medicine 47, no. 03 (2008): 217–22. http://dx.doi.org/10.3414/me9113.

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Summary Objectives: There is an increasing need for userfriendly and interoperable mobile applications in health and wellness domain. The objective of this work has been to provide support for rapid and cost-effective development of such applications. Methods: We have introduced an application framework which provides a generic tool for mobile application designers. We have demonstrated the usage of the application framework by providing an example implementation and demonstrating its usage in a Tele-ECG use case. In order to support interoperability we propose a solution compatible with clinical document standards such as the HL7 CDA. Results: A new mobile platform applicable for a wide range of telemedicine and wellness applications is introduced. The platform provides connectivity between healthcare professionals, patients and measurement devices. It is based on an open application framework that provides interfaces for measurement, user interface, database and network connectivity implementations. Conclusions: Mobile application development based on the application framework was demonstrated successfully. The developed UPHIAC platform adopts a new technical approach using a local database solution for caching of information at the mobile terminal. The platform applies a document-based approach providing a versatile and reliable way of sharing and collabora - tively complementing of health information including standard information model documents (HL7/CDA), and integration with health information systems and personal storages. The implemented mobile tele-ECG case demonstrates the overall function of the platform. The platform can be used as a basis for developing new applications for specific purposes.
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Kirstein, T., G. Tröster, and P. Lukowicz. "Wearable Systems for Health Care Applications." Methods of Information in Medicine 43, no. 03 (2004): 232–38. http://dx.doi.org/10.1055/s-0038-1633863.

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Summary Objectives: Wearable systems can be broadly defined as mobile electronic devices that can be unobtrusively embedded in the user’s outfit as part of the clothing or an accessory. In particular, unlike conventional mobile systems, they can be operational and accessed without or with very little hindrance to user activity. To this end they are able to model and recognize user activity, state, and the surrounding situation: a property, referred to as context sensitivity. Wearable systems range from micro sensors seamlessly integrated in textiles through consumer electronics embedded in fashionable clothes and computerized watches to belt worn PCs with a head mounted display. The wearable computing concept is part of a broader framework of ubiquitous computing that aims at invisibly enhancing our environment with smart electronic devices.The goal of the paper is to provide a broad overview of wearable technology and its implications for health related applications. Methods: We begin by summarizing the vision behind wearable computing. We then describe a framework for wearable computing architecture and the main technological aspects. Finally we show how specific properties of wearable systems can be used in different health related application domains. Results: Wearable computing is an emerging concept building upon the success of today’s mobile computing and communication devices. Due to rapid technological progress it is currently making a transition from a pure research stage to practical applications. Many of those applications are in health related domains, in particular, health monitoring, mobile treatment and nursing. Conclusions: Within the next couple of years wearable systems and more general ubiquitous computing will introduce profound changes and new application types to health related systems. In particular they will prove useful in improving the quality and reducing the cost of caring for the aging population.
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17

de Boer, B. "Health Monitoring Applications and the Transparency of Health." Delphi - Interdisciplinary Review of Emerging Technologies 2, no. 3 (2019): 129–34. http://dx.doi.org/10.21552/delphi/2019/3/6.

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18

Kizilkan, Abdurrahman, Gultekin Ozturk, and Nuri Yildiran. "Performance Applications in Health Transformation." TAF Preventive Medicine Bulletin 11, no. 6 (2012): 757. http://dx.doi.org/10.5455/pmb.1-1327657488.

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19

Chandra, PSarat. "Plasma Technologies for Health Applications." Neurology India 68, no. 1 (2020): 3. http://dx.doi.org/10.4103/0028-3886.279667.

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GÖRAL TÜRKCÜ, Sinem, and Sevgi ÖZKAN. "REFLEXOLOGY APPLICATIONS IN WOMEN’S HEALTH." International Refereed Journal of Gynaecology And Maternal Child Health, no. 11 (2017): 0. http://dx.doi.org/10.17367/jacsd.2017.3.2.

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21

Nikou, Shahrokh, and Harry Bouwman. "Mobile Health and Wellness Applications." International Journal of E-Business Research 13, no. 1 (January 2017): 1–24. http://dx.doi.org/10.4018/ijebr.2017010101.

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The rapid-pace development in mobile technology offers tremendous opportunities for both the public and private sector in healthcare domain. Unlike other forms of communications, e.g., the Internet, increasingly ubiquitous use of mobile technology and devices allow mobile health and wellness applications to have a greater impact on how care is delivered. Although, technology is an essential tool for healthcare provision, to fully leverage these opportunities other major issues on the emergence of more patient-centric healthcare solutions need to be addressed. A sustainable business model plays a significant role in exploration and exploitation of mobile health and wellness applications. Therefore, this paper presents a systematic literature review based on a business model ontology, in order to lay the basis for exploitation of these applications. The review shows that the extant literature mainly focuses on the service platforms components of business models and their underlying technological challenges, and that non-technological business model components such as value proposition, organizing and revenue models have not attracted the attention that is deemed necessary for exploitation of mobile health care solutions. This paper cautions that in a highly regulated yet often monopolistic industry such as healthcare, the regulatory and the legal issues must be considered as an external business factors.
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22

Demirel, Demokaan. "E-HEALTH APPLICATIONS in TURKEY." Pressacademia 4, no. 1 (June 1, 2017): 422–32. http://dx.doi.org/10.17261/pressacademia.2017.679.

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23

Baranek, Natalia, Tomasz Lesiów, and Ewa Biazik. "M-HEALTH APPLICATIONS. PART 1." ENGINEERING SCIENCES AND TECHNOLOGIES, no. 24 (2017): 9–26. http://dx.doi.org/10.15611/nit.2017.1.01.

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Baranek, Natalia, Tomasz Lesiów, and Ewa Biazik. "M-HEALTH APPLICATIONS. PART 2." ENGINEERING SCIENCES AND TECHNOLOGIES, no. 24 (2017): 27–39. http://dx.doi.org/10.15611/nit.2017.1.02.

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25

Alcorn, John D., Elizabeth M. Altmaier, and Janel K. Harris. "Counseling Psychology and Health Applications." Counseling Psychologist 19, no. 3 (July 1991): 323–24. http://dx.doi.org/10.1177/0011000091193001.

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Alcorn, John D. "Counseling Psychology and Health Applications." Counseling Psychologist 19, no. 3 (July 1991): 325–41. http://dx.doi.org/10.1177/0011000091193002.

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27

Corrigan, John D. "Counseling Psychology and Health Applications." Counseling Psychologist 19, no. 3 (July 1991): 382–86. http://dx.doi.org/10.1177/0011000091193006.

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28

Abts, Natalie A., Stephanie A. McNicol, and Russell J. Branaghan. "Guidelines for Mobile Health Applications." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 8, no. 1 (September 2019): 197–200. http://dx.doi.org/10.1177/2327857919081050.

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Mobile health (mHealth) is a fast-growing industry that facilitates the management of healthcare by both patients and healthcare providers (Zapata, et al, 2015). The growing popularity of this platform and general lack of regulatory oversight has led to wide variation in adherence to sound human factors and usability principles. Thus, a set of guiding criteria would help developers streamline their processes through standardization. As part of a project referred to as the Xcertia Guidelines, a workgroup of industry experts and stakeholders developed guidelines for incorporating usability principles into the development of mHealth applications. Using an iterative process, the workgroup conducting research to generate content covering 10 distinct topic areas for a draft publication released in February, 2019. After an open comment period, an updated version of the guidelines will be released to the public.
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Bone, Margaret R., Andrew C. Bebbington, and Geraldine Nicolaas. "Policy Applications of Health Expectancy." Journal of Aging and Health 10, no. 2 (May 1998): 136–53. http://dx.doi.org/10.1177/089826439801000202.

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Huang, H. K. "Multimedia Applications In Health Care." IEEE Multimedia 4, no. 2 (April 1997): 23. http://dx.doi.org/10.1109/mmul.1997.591149.

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Upadhyay, Vivek, Adam Landman, and Michael J. Hassett. "Mobile health applications in oncology." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): e14115-e14115. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e14115.

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e14115 Background: Over 325,000 mobile health (mhealth) applications (apps) have been developed. There has been a substantial increase in mhealth investment, with over $8.1 billion invested in digital health startups in 2018. While apps have been studied within clinical oncology, we are aware of no comprehensive evaluation of the commercial footprint of oncology-specific apps. We sought to describe the state of oncology-specific apps and highlight notable areas of development. Methods: We conducted a systemic search for oncology apps in the Apple iOS and Google Play app stores in January 2020. Search terms included “cancer,” “oncology,” “radiotherapy,” and “chemotherapy.” All apps were manually reviewed and classified by English language support, date of last update, downloads, intended audience, intended purpose, and developer type. We also compared commercially available apps with those described in a recently conducted meta-analysis of oncology-app studies. We performed descriptive statistics using RStudio V1.2.335. Results: We identified 794 oncology-specific, English-language applications, but only 257 (32%) met basic quality standards and were considered evaluable. The primary reason for exclusion was lack of a recent update. Of included apps, almost half (47%) were found in the “Medical” Store Category and the majority were free (88%). The most common intended audience was healthcare professionals (45%), with 28% being geared towards the general public and 27% being intended for patients. The intended function was education for 37%, clinical decision support (CDS) for 19%, and patient support for 18%. Only 22% of education apps and 40% of CDS apps reported any formal app content review process. Web developers created 61% of apps, scientific societies created 10%, and hospitals/healthcare organizations created just 6% (Table). The most frequently downloaded apps tended to be geared toward educating/supporting the public. Of 54 studies that utilized mobile apps in oncology identified by a recent meta-analysis, only 2 could be matched to commercially available apps from our study, suggesting a substantial divide between investigation and product dissemination. Conclusions: Our analysis of oncology-related apps in the commercial marketplace found few high-quality, up-to-date apps, and a notable absence of key oncology stakeholders in app development. Future studies should explore barriers to developing and disseminating apps designed to advance oncology care delivery. [Table: see text]
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Radovic, Ana, Pamela L. Vona, Antonella M. Santostefano, Samantha Ciaravino, Elizabeth Miller, and Bradley D. Stein. "Smartphone Applications for Mental Health." Cyberpsychology, Behavior, and Social Networking 19, no. 7 (July 2016): 465–70. http://dx.doi.org/10.1089/cyber.2015.0619.

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Kopp, Stephen, Robert Shuchman, Victor Strecher, Mamadou Gueye, Jerry Ledlow, Tina Philip, and Alison Grodzinski. "Chapter 3: Public Health Applications." Telemedicine Journal and e-Health 8, no. 1 (March 2002): 35–48. http://dx.doi.org/10.1089/15305620252933383.

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34

McBride, Colleen M., Deborah Bowen, Lawrence C. Brody, Celeste M. Condit, Robert T. Croyle, Marta Gwinn, Muin J. Khoury, et al. "Future Health Applications of Genomics." American Journal of Preventive Medicine 38, no. 5 (May 2010): 556–65. http://dx.doi.org/10.1016/j.amepre.2010.01.027.

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35

Brabham, Daren C., Kurt M. Ribisl, Thomas R. Kirchner, and Jay M. Bernhardt. "Crowdsourcing Applications for Public Health." American Journal of Preventive Medicine 46, no. 2 (February 2014): 179–87. http://dx.doi.org/10.1016/j.amepre.2013.10.016.

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36

Sekretaryova, Alina N., Mats Eriksson, and Anthony P. F. Turner. "Bioelectrocatalytic systems for health applications." Biotechnology Advances 34, no. 3 (May 2016): 177–97. http://dx.doi.org/10.1016/j.biotechadv.2015.12.005.

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Banos, Oresti, and Ramón Hervás. "Ubiquitous computing for health applications." Journal of Ambient Intelligence and Humanized Computing 10, no. 6 (May 29, 2018): 2091–93. http://dx.doi.org/10.1007/s12652-018-0875-3.

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38

Wu, Ann Chen, Jane F. Carpenter, and Blanca E. Himes. "Mobile health applications for asthma." Journal of Allergy and Clinical Immunology: In Practice 3, no. 3 (May 2015): 446–48. http://dx.doi.org/10.1016/j.jaip.2014.12.011.

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Noee, Mina, Ali Akbari Sari, Alireza Olyaeemanesh, and Mohammadreza Mobinizadeh. "Prioritizing the Potential Applications of Mobile-Health in the Iranian Health System." Journal of Research in Health Sciences 20, no. 1 (March 1, 2020): e00473-e00473. http://dx.doi.org/10.34172/jrhs.2020.08.

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Background: Access and the use of information and communication technology, especially mobile phones, have expanded significantly in recent years; therefore, we aimed to rank the potential applications of mobile apps in the Iranian health system. Study Design: A multi-attribute decision making design. Methods: First, the main applications of apps and also the related attributes for prioritization were extracted from a systematic and comparative review of studies. Then, the weight of these attributes was extracted using the Shannon Entropy method. The values of attributes for each application were questioned by the 11 experts. By having the decision matrix and the weight of attributes, the applications were separately weighted and ranked using four MADM techniques. Finally, using the Copeland technique, the results of different techniques were combined, and a final ranking was achieved. Results: Based on the results extracted from the studies and the opinions of experts, 8 main applications, and, 14 attributes were determined and entered into the modeling phase. The most significant weight obtained was related to "the feasibility of monitoring activities" (weight=0.220), and the least was related to "the feasibility of access to apps in any location" (weight=0.017). Conclusion: The apps related to the physicians' access to patients’ health information had the highest priority, and the apps related to the selection of proper health behavior patterns had the least priority.
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Emin Taleh Mammadov, Emin, Hasan Panach Imanli, and Elcin Nizami Huseyn. "ARTIFICIAL INTELLIGENCE PRACTICES IN THE HEALTH SECTOR." NATURE AND SCIENCE 04, no. 05 (December 28, 2020): 21–29. http://dx.doi.org/10.36719/2707-1146/05/21-29.

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Artificial intelligence is a technology developed to make machines think like humans. Aristotle's historical artificial intelligence entered the health sector in the 1970s. The first application for artificial intelligence in the internist-1 field in health care, the Casnet expert system, and MYCIN. This technology was later introduced to many areas of health care. The main purpose of this application is for the benefit of doctors and patients. In general, applications, medical decisions, early diagnosis and treatment, drug development, and medical imaging issues deserve attention. Another important issue is the concern about the benefits of artificial intelligence, as well as the possibility of replacing the physicians in charge when medical decisions are left entirely to artificial intelligence. This study aims to provide readers with general information about the areas where artificial intelligence is used in health care. In this study, 14 applications were examined and outstanding results were observed. When doctors say that a comatose patient cannot wake up, artificial intelligence says that a comatose patient can wake up and the patient can wake up. Other advanced artificial intelligence has shown that it can detect cancer more accurately than 58 skin specialists. One study concluded that artificial intelligence with a predictive treatment approach lowered health care costs by 5 to 9% and could lead to an increase in life expectancy of 0.2 to 1.3 years. Keywords: Artificial Intelligence, Health Practices, Health Management
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Potorochina, Кseniya L., and Elena Yu Nikitina. "Security of IoT Applications in Health Care." Вестник Пермского университета. Математика. Механика. Информатика, no. 4(59) (2022): 68–81. http://dx.doi.org/10.17072/1993-0550-2022-4-68-81.

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The trends in global healthcare IoT applications and the associated challenges in securing such devices are examined. An analysis is made of typical IoT-systems and the distribution of the most rele-vant threats to the main IoT layers. Based on this analysis and the specifics of the application area, a list of recommendations for creating a secure IoT-system for healthcare is proposed.
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Aungst, Timothy, Sheila Seed, Nurisha Gobin, and Rosa Jung. "The good, the bad, and the poorly designed: The mobile app stores are not a user-friendly experience for health and medical purposes." DIGITAL HEALTH 8 (January 2022): 205520762210900. http://dx.doi.org/10.1177/20552076221090038.

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The utilization of mobile health applications to help manage health conditions have grown in utilization within the past decade. However, the application stores (i.e. Google and Apple) are not designed in a user-friendly manner that allows consumers to identify high-quality health and medical-related mobile applications. Researchers have been interested in identifying applications that may be recommended for patient care but have found the ability to quantify and assess these applications to be difficult due to the current layout and organization of applications. We explain here in this brief communication our own research experience in the identification of mobile health applications on the application stores, along with trends noted in other mobile health research, and make suggestions on how the application store experience could be improved for both patients and health professionals. These include collaboration between developers, medical professionals and organizations, and technology companies to facilitate a better means of categorizing health applications for patient use, alongside other current endeavors being pursued such as application review organizations and the creation of digital health formulary databases.
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Buchanan, Cassidy M., and James A. Ippolito. "Long-Term Biosolids Applications to Overgrazed Rangelands Improve Soil Health." Agronomy 11, no. 7 (June 30, 2021): 1339. http://dx.doi.org/10.3390/agronomy11071339.

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Overgrazed rangelands can lead to soil degradation, yet long-term land application of organic amendments (i.e., biosolids) may play a pivotal role in improving degraded rangelands in terms of soil health. However, the long-term effects on soil health properties in response to single or repeated, low to excessive biosolids applications, on semi-arid, overgrazed grasslands have not been quantified. Using the Soil Management Assessment Framework (SMAF), soil physical, biological, chemical, nutrient, and overall soil health indices between biosolids applications (0, 2.5, 5, 10, 21, or 30 Mg ha−1) and application time (single: 1991, repeated: 2002) were determined. Results showed no significant changes in soil physical and nutrient health indices. However, the chemical soil health index was greater when biosolids were applied at rates <30 Mg ha−1 and within the single compared to repeated applications. The biological soil health index was positively affected by increasing biosolids application rates, was overall greater in the repeated as compared to the single application, and was maximized at 30 Mg ha−1. The overall soil health index was maximized at rates <30 Mg ha−1. When all indices were combined, and considering past plant community findings at this site, overall soil health appeared optimized at a biosolids application rate of ~10 Mg ha−1. The use of soil health tools can help determine a targeted organic amendment application rate to overgrazed rangelands so the material provides maximum benefits to soils, plants, animals, and the environment.
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Amir, Puteri Nureylia, Mohd Fazeli Sazali, Loganathan Salvaraji, Nafsah Dulajis, Syed Sharizman Syed Abdul Rahim, and Richard Avoi. "Public Health Informatics in Global Health Surveillance: A Review." Borneo Epidemiology Journal 2, no. 2 (December 29, 2021): 74–88. http://dx.doi.org/10.51200/bej.v2i2.3628.

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Background: Surveillance is the backbone for effective public health practice. Traditionally, surveillance system relies on the collection of information regarding health-related events through healthcare facilities, disease notification system from the physician, syndromic notification networks, selected sentinel healthcare facilities, or by event-based data. However, there are several limitations in using conventional surveillance. Methods: With the advancement of technology and computer science, overcoming those limitations and complementing the traditional method has been recommended. Three leading emerging technologies are applied in public health surveillance: the internet of things, artificial intelligence, and blockchain. Results: Application of informatics in public health surveillance could raise several issues including accessibility and affordability of innovations; public health informatics’ experts, law, and regulation to protect patients’ information; social and ethical considerations, norms, and standards of implementing new technologies; data ownership; privacy and sharing of information; biosecurity; biosafety; and cybersecurity. Conclusion: This article aimed to review several applications of informatics system in public health surveillance practice and its several issues related to the use of technology. Several applications of informatics could be useful for incoming challenges in public health. However, application of informatics can pose significant issues and must be taken into consideration in public health practice.
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Lumsden, David Paul. "Stress and Emotional Health: Applications of Clinical Anthropology:Stress and Emotional Health: Applications of Clinical Anthropology." American Anthropologist 102, no. 3 (September 2000): 630–31. http://dx.doi.org/10.1525/aa.2000.102.3.630.

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Katsarou, Eleni I., Charalambos Billinis, Dimitrios Galamatis, George C. Fthenakis, George Th Tsangaris, and Angeliki I. Katsafadou. "Applied Proteomics in ‘One Health’." Proteomes 9, no. 3 (June 30, 2021): 31. http://dx.doi.org/10.3390/proteomes9030031.

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‘One Health’ summarises the idea that human health and animal health are interdependent and bound to the health of ecosystems. The purpose of proteomics methodologies and studies is to determine proteins present in samples of interest and to quantify changes in protein expression during pathological conditions. The objectives of this paper are to review the application of proteomics technologies within the One Health concept and to appraise their role in the elucidation of diseases and situations relevant to One Health. The paper develops in three sections. Proteomics Applications in Zoonotic Infections part discusses proteomics applications in zoonotic infections and explores the use of proteomics for studying pathogenetic pathways, transmission dynamics, diagnostic biomarkers and novel vaccines in prion, viral, bacterial, protozoan and metazoan zoonotic infections. Proteomics Applications in Antibiotic Resistance part discusses proteomics applications in mechanisms of resistance development and discovery of novel treatments for antibiotic resistance. Proteomics Applications in Food Safety part discusses the detection of allergens, exposure of adulteration, identification of pathogens and toxins, study of product traits and characterisation of proteins in food safety. Sensitive analysis of proteins, including low-abundant ones in complex biological samples, will be achieved in the future, thus enabling implementation of targeted proteomics in clinical settings, shedding light on biomarker research and promoting the One Health concept.
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Amanda, Gabriela, and Chrisanty V. Layman. "Examining the Intention to Use Mobile Health Applications Amongst Indonesians." Milestone: Journal of Strategic Management 2, no. 2 (November 18, 2022): 103. http://dx.doi.org/10.19166/ms.v2i2.5924.

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<p>The use of m-health applications in Indonesia is currently increasing drastically during the COVID-19 pandemic. This has led to intense competition between companies providing health application services to continue to retain users, one of which is by understanding the important factors that influence the intention to use applications either directly or indirectly, apart from the COVID-19 pandemic. This study aims to examine the effect of quality application, perceived information quality, trust, perceived usefulness and intention to use. The data employed for this study were collected from 150 users of mobile health applications in Indonesia. Hypothesis testing in this study used the Structural Equation Modelling (SEM) for the statistical analysis method. The results of this study indicate that application quality has a positive effect on perceived information quality, perceived information quality has a positive effect on trust, trust has a positive effect on perceived usefulness, and perceived usefulness has a positive effect on intention to use. Finally, the managerial implications in this study are expected to be a source of thought, especially for companies in the health technology industry to continue to improve and evaluate the quality of application that indirectly affect intention to use.</p>
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Redican, Kerry J. "Health Literacy and Health Education: Research and Practical Applications." American Journal of Health Education 52, no. 6 (October 21, 2021): 321–22. http://dx.doi.org/10.1080/19325037.2021.1985021.

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Johnson, Suzanne Bennett. "Health Behavior and Health Status: Concepts, Methods, and Applications." Journal of Pediatric Psychology 19, no. 2 (1994): 129–41. http://dx.doi.org/10.1093/jpepsy/19.2.129.

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Seedsman, Terence. "Health promotion and ageing: Practical applications for health professionals." Australasian Journal on Ageing 26, no. 2 (June 2007): 100–101. http://dx.doi.org/10.1111/j.1741-6612.2007.00230.x.

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