Relevant bibliographies by topics / Computer decision support systems; Family history

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Computer decision support systems; Family history'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Computer decision support systems; Family history.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Computer decision support systems; Family history"

1

Ruch, P. "A Medical Informatics Perspective on Decision Support Systems." Yearbook of Medical Informatics 21, no. 01 (August 2012): 113–16. http://dx.doi.org/10.1055/s-0038-1639440.

Full text
Abstract:
SummaryTo summarize current excellent research in the field of computer-based decision support systems in health and healthcare.We provide a synopsis of the articles selected for the IMIA Yearbook 2012, from which we attempt to draft a synthetic overview of the activity and new trends in the field.While the state of the research in the field of medical decision support systems is illustrated by a set of fairly heterogeneous studies, it is possible to identify fundamental aspects of the fields, e.g. Decision Support Systems for Computerized Provider Order Entry, both for physicians and pharmacists, as well as more specific developments such as instruments to improve processing of data related to Clinical Trials and applications to capture family health history.The best paper selection of articles on decision support shows examples of excellent research on methods concerning original development as well as quality assurance of previously reported studies. This selected set of scientific investigations clearly question the way decision support systems are deployed in clinical environments as these systems seem to have little impact on patient safety and even could harm the patient. Furthermore, while significant research efforts are invested into translational & “omics” medicine, it is interesting to observe that simple data capture applications can reasonably lead to positive changes in healthcare.
APA, Harvard, Vancouver, ISO, and other styles
2

Aziz, Ayesha, Lance Pflieger, Nathaniel O’Connell, Joshua Schiffman, and Brandon M. Welch. "Compatibility of Family History Cancer Guidelines With Meaningful Use Standards." JCO Clinical Cancer Informatics, no. 1 (November 2017): 1–9. http://dx.doi.org/10.1200/cci.17.00076.

Full text
Abstract:
Purpose To evaluate the potential of implementing established family cancer guidelines as clinical decision support within meaningful use (MU)–compliant health information technology systems. Methods We conducted a systematic analysis of cancer guidelines involving family health history (FHx) published before 2015. By comparing existing cancer guideline statements to current MU FHx standard requirements, we determined whether the cancer guideline statements could be implemented as clinical decision support. For guidelines that could not implemented, we determined the primary reasons for incompatibility. Results A total of 531 statements from 55 guidelines published by 11 different organizations were reviewed and analyzed. Overall, 18% to 66% of guideline statements could or could not be implemented in MU-compliant health information technology systems, depending on which MU standard was used. Health Level Seven (HL7) models performed better than SNOMED models. Implementability of guideline statements varied by cancer type and guideline organizations. The greatest deficiencies in implementability of statements were largely a result of the fact that MU standards required only first-degree relatives and that FHx terms used in guidelines statements were ambiguous. Conclusion FHx cancer guidelines and MU-based systems vary widely and are mostly incompatible. We identified sources of incompatibility and made recommendations that could improve the implementability of FHx cancer guidelines. Our findings and recommendations can enhance the use of established FHx cancer risk guidelines in routine clinical workflows.
APA, Harvard, Vancouver, ISO, and other styles
3

Tomaszewski, Wiesław, Grzegorz Bliźniuk, Roman Bronowski, Andrzej Czamara, Andrzej Ameljańczyk, Wojciech Widuchowski, and Krzysztof Klukowski. "Computer-Based Medical Decision Support Systems - history, development, comparison of systems in selected European countries and the United States." Polish Journal of Physiotherapy 11, no. 2 (August 1, 2011): 91–106. http://dx.doi.org/10.5604/16420136.954570.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Artiemjew, Piotr, Lada Rudikova, and Oleg Myslivets. "About Rule-Based Systems: Single Database Queries for Decision Making." Future Internet 12, no. 12 (November 27, 2020): 212. http://dx.doi.org/10.3390/fi12120212.

Full text
Abstract:
One of the developmental directions of Future Internet technologies is the implementation of artificial intelligence systems for manipulating data and the surrounding world in a more complex way. Rule-based systems, very accessible for people’s decision-making, play an important role in the family of computational intelligence methods. The use of decision-making rules along with decision trees are one of the simplest forms of presenting complex decision-making processes. Decision support systems, according to the cross-industry standard process for data mining (CRISP-DM) framework, require final embedding of the learned model in a given computer infrastructure, integrated circuits, etc. In this work, we deal with the topic concerning placing the learned rule-based model of decision support in the database environment-exactly in the SQL database tables. Our main goal is to place the previously trained model in the database and apply it by means of single queries. In our work we assume that the decision-making rules applied are mutually consistent and additionally the Minimal Description Length (MDL) rule is introduced. We propose a universal solution for any IF THEN rule induction algorithm.
APA, Harvard, Vancouver, ISO, and other styles
5

Abirami L. and Karthikeyan J. "Fusion of Health Care Architecture for Predicting Vulnerable Diseases Using Automated Decision Support Systems." International Journal of Web Portals 11, no. 2 (July 2019): 53–66. http://dx.doi.org/10.4018/ijwp.2019070104.

Full text
Abstract:
The healthcare industry is a stage which is presented with tremendous innovative headways consistently. With the perfect learning of foundation data, writing, and proposed calculation, the proposition conveys engineering for supporting computerized choices to medicinal services organizations. Electronic records are constantly gathered and sorted out to give a point by point history of patients, their sicknesses and determination plans. From the acquired data, the virtual doctoring engine (VDE) endeavors to break down the discernible attributes from the datasets utilizing the known-yet-predict (KYP) calculation to propose an ideal finding plan. This treatment plan will later be directed by a specialist for treating the patients. The exhibition of VDE framework is tried against patients experiencing cardiovascular infections. This methodology has been examined against different component extraction calculations and observed to be 18.2% progressively exact in anticipating the ideal treatment plan.
APA, Harvard, Vancouver, ISO, and other styles
6

Madadipouya, Kasra. "A Survey on Data Mining Algorithms and Techniques in Medicine." JOIV : International Journal on Informatics Visualization 1, no. 3 (June 10, 2017): 61. http://dx.doi.org/10.30630/joiv.1.3.25.

Full text
Abstract:
Medical Decision Support Systems (MDSS) industry collects a huge amount of data, which is not properly mined and not put to the optimum use. This data may contain valuable information that awaits extraction. The knowledge may be encapsulated in various patterns and regularities that may be hidden in the data. Such knowledge may prove to be priceless in future medical decision making. Available medical decision support systems are based on static data, which may be out of date. Thus, a medical decision support system that can learn the relationships between patient histories, diseases in the population, symptoms, pathology of a disease, family history, and test results, would be useful to physicians and hospitals. This paper provides an in-depth review of available data mining algorithms and techniques. In addition to that, data mining applications in medicine are discussed as well as techniques for evaluating them and available applications of performance metrics.
APA, Harvard, Vancouver, ISO, and other styles
7

Panos, Evangelos, and Stavroula Margelou. "Long-Term Solar Photovoltaics Penetration in Single- and Two-Family Houses in Switzerland." Energies 12, no. 13 (June 26, 2019): 2460. http://dx.doi.org/10.3390/en12132460.

Full text
Abstract:
The Swiss energy strategy aims at increasing electricity generation from solar power by 2050, to fulfil Switzerland’s commitments in the Paris Agreement. However, the market of single- and two-family houses is characterized by low return rates for excess power injected to the grid, and the installation of rooftop solar photovoltaic (PV) is sensitive to financial incentives. We assess the drivers influencing the diffusion of rooftop solar PV systems until 2050, by employing an agent-based model. An agent is a single- or two-family house, and its decision to invest depends on the economic profitability of the investment, the agent’s income, environmental benefits (injunctive social norm), awareness and knowledge about the solar PV technology, and the impact of the social network (descriptive social norm). The model includes a synthetic population of agents, statistically equivalent to the true population. We also investigate the impact of different support policies, technology learning rates, electricity prices, and discount rates on the investment decision. We find that the concept of prosumer emerges, mainly via self-consumption strategies. The diffusion process of rooftop solar PV systems in single- and two-family houses gains momentum in the future. In the near-term, PV deployment is sensitive to the profitability of the investment, while after the year 2030, peer effects play an increasing role in the agents’ investment decisions.
APA, Harvard, Vancouver, ISO, and other styles
8

Chryssolouris, G., D. Mavrikios, N. Papakostas, D. Mourtzis, G. Michalos, and K. Georgoulias. "Digital manufacturing: History, perspectives, and outlook." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 5 (May 1, 2009): 451–62. http://dx.doi.org/10.1243/09544054jem1241.

Full text
Abstract:
Digital manufacturing has been considered, over the last decade, as a highly promising set of technologies for reducing product development times and cost as well as for addressing the need for customization, increased product quality, and faster response to the market. This paper describes the evolution of information technology systems in manufacturing, outlining their characteristics and the challenges to be addressed in the future. Together with the digital manufacturing and factory concepts, the technologies considered in this paper include computer-aided design, engineering, process planning and manufacturing, product data and life-cycle management, simulation and virtual reality, automation, process control, shopfloor scheduling, decision support, decision making, manufacturing resource planning, enterprise resource planning, logistics, supply chain management, and e-commerce systems. These technologies are discussed in the context of the digital factory and manufacturing concepts.
APA, Harvard, Vancouver, ISO, and other styles
9

Lamy, J. B., and J. Bouaud. "A 2014 Medical Informatics Perspective on Clinical Decision Support Systems: Do We Hit The Ceiling of Effectiveness?" Yearbook of Medical Informatics 23, no. 01 (August 2014): 163–66. http://dx.doi.org/10.15265/iy-2014-0036.

Full text
Abstract:
Summary Objective: To summarize recent research and propose a selection of best papers published in 2013 in the field of computer-based decision support in health care. Method: Two literature reviews were performed by the two section editors from bibliographic databases with a focus on clinical decision support systems (CDSSs) and computer provider order entry in order to select a list of candidate best papers to be peer-reviewed by external reviewers. Results: The full review process highlighted three papers, illustrating current trends in the domain of clinical decision support. The first trend is the development of theoretical approaches for CDSSs, and is exemplified by a paper proposing the integration of family histories and pedigrees in a CDSS. The second trend is illustrated by well-designed CDSSs, showing good theoretical performances and acceptance, while failing to show a clinical impact. An example is given with a paper reporting on scorecards aiming to reduce adverse drug events. The third trend is represented by research works that try to understand the limits of CDSS use, for instance by analyzing interactions between general practitioners, patients, and a CDSS. Conclusions: CDSSs can achieve good theoretical results in terms of sensibility and specificity, as well as a good acceptance, but evaluations often fail to demonstrate a clinical impact. Future research is needed to better understand the causes of this observation and imagine new effective solutions for CDSS implementation.
APA, Harvard, Vancouver, ISO, and other styles
10

Sepehri, Fateme, Mostafa Langarizadeh, Laleh Sharifi, Gholamreza Azizi, Reza Safdari, and Asghar Aghamohammadi. "Development A Guideline-based Decision Support System to Diagnosis of Primary Immunodeficiency Diseases." Frontiers in Health Informatics 8, no. 1 (May 21, 2019): 11. http://dx.doi.org/10.30699/fhi.v8i1.184.

Full text
Abstract:
Introduction: Primary immunodeficiency diseases (PID) are generally rare genetic disorders affecting the immune system. Overlapping PIDs symptoms and signs is a challenge to diagnosis and treatment. On the other hand, remembering of all diagnosis criteria is difficult for practitioners. The purpose of this research is developing guideline-based clinical decision support system for diagnosis of primary immune deficiency diseases, to assist practitioner in order to diagnose of disease in early stage and to minimize complications of such diseases.Material and Methods: To provide data a checklist was used and most important demographic information, symptoms, family history, physical findings and laboratory findings to diagnose eight common PIDs extracted from guidelines and literature under specialists opinion. The diagnosis inference model design and develop in Protégé (version 3.4.8) frame based ontology modeling using "Noy and McGuinness" method. Then the mobile based inference model in Eclipse (SDK version 3.7.1) software has been developed and clinical decision support system of primary immunodeficiency has been created.Results: To design the diagnosis inference model in Protégé software, data were classified in 5 main classes and 24 subclasses as hierarchical. Then, specific properties of each class, and determine the value of each property. Then define Instances of each class and initialized instance properties. Then use this model to develop CDSS based on mobile in Eclipse software. At the end, the inference model and the CDSS test with 110 patient’s record data and both of them recognized all 110 patient correctly such as specialist recognition.Conclusion:Guideline-based decision support systems help to detect diseases correctly, quickly and early. Guideline-based decision support systems are very reliable to practitioner, because guidelines are accepted to their. These systems reduce the forget probability of diagnosis stages and percentage error of diagnosis by practitioner and increase the accuracy of diagnosis.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Computer decision support systems; Family history"

1

Emery, Jonathan D. "The development and evaluation of computer support for cancer genetic advice in primary care." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342588.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gao, Shijia. "Intelligent agent assisted decision support for family financial planning /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?mphil-is-b19887735a.pdf.

Full text
Abstract:
Thesis (M.Phil.)--City University of Hong Kong, 2005.
"Submitted to Department of Information Systems in partial fulfillment of the requirements for the degree of Master of Philosophy" Includes bibliographical references (leaves 114-132)
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Computer decision support systems; Family history"

1

(Editor), Katharina Kaiser, Silvia Miksch (Editor), W. Tu Samson (Editor), and Samson W. Tu (Editor), eds. Computer-Based Support for Clinical Guidelines and Protocols: Proceedings of the Symposium on Computerized Guidelines and Protocols (CGP 2004) (Studies in Health Technology and Informatics). IOS Press, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Computer decision support systems; Family history"

1

Akbari, Zohreh, and Rainer Unland. "A Holonic Multi-agent Based Diagnostic Decision Support System for Computer-Aided History and Physical Examination." In Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 29–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94580-4_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, John, James Yao, and Jeffrey Hsu. "Interactive, Flexible, and Adaptable Decision Support Systems." In Business Information Systems, 565–72. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-969-9.ch036.

Full text
Abstract:
Over the four decades of its history, decision support systems (DSSs) have moved from a radical movement that changed the way information systems were perceived in business, to a mainstream commercial information technology movement that all organizations engage. This interactive, flexible, and adaptable computer-based information system derives from two main areas of research: the theoretical studies of organizational decision making done at the Carnegie Institute in the 1950s and early 1960s as well as the technical work on interactive computer systems which was mainly performed by the Massachusetts Institute of Technology (Keen & Morton, 1978). DSSs began due to the importance of formalizing a record of ideas, people, systems, and technologies implicated in this sector of applied information technology. But the history of this system is not precise due to the many individuals involved in different stages of DSSs and various industries while claiming to be pioneers of the system (Arnott & Pervan, 2005; Power, 2003). DSSs have become very sophisticated and stylish since these pioneers began their research. Many new systems have expanded the frontiers established by these pioneers yet the core and basis of the system remains the same. Today, DSSs are used in the finance, accounting, marketing, medical, as well as many other fields.
APA, Harvard, Vancouver, ISO, and other styles
3

Wang, John, James Yao, and Jeffrey Hsu. "Interactive, Flexible, and Adaptable Decision Support Systems." In Encyclopedia of Human Resources Information Systems, 557–62. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-883-3.ch081.

Full text
Abstract:
Over the four decades of its history, decision support systems (DSSs) have moved from a radical movement that changed the way information systems were perceived in business, to a mainstream commercial information technology movement that all organizations engage. This interactive, flexible, and adaptable computer-based information system derives from two main areas of research: the theoretical studies of organizational decision making done at the Carnegie Institute in the 1950s and early 1960s as well as the technical work on interactive computer systems which was mainly performed by the Massachusetts Institute of Technology (Keen & Morton, 1978). DSSs began due to the importance of formalizing a record of ideas, people, systems, and technologies implicated in this sector of applied information technology. But the history of this system is not precise due to the many individuals involved in different stages of DSSs and various industries while claiming to be pioneers of the system (Arnott & Pervan, 2005; Power, 2003). DSSs have become very sophisticated and stylish since these pioneers began their research. Many new systems have expanded the frontiers established by these pioneers yet the core and basis of the system remains the same. Today, DSSs are used in the finance, accounting, marketing, medical, as well as many other fields.
APA, Harvard, Vancouver, ISO, and other styles
4

Deperlioglu, Omer. "Intelligent Techniques Inspired by Nature and Used in Biomedical Engineering." In Biotechnology, 666–92. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8903-7.ch027.

Full text
Abstract:
Managing medical information and knowledge is becoming an increasing problem for healthcare professionals. Medical science that contains ever-increasing amounts of knowledge, such as the medical history of a patient, medical data about diseases, diagnosis and treatment methods, should be necessarily a science of information. The real problem faced by patients and healthcare providers is finding and using relevant knowledge at the right time. In this context, in the middle of 1950s, intelligent computer systems, called clinical decision support systems (CDSS), were introduced as a new concept. CDSS is defined as an active intelligent system that can help medical experts to make decisions by taking specific recommendations. Also, it provides decisions based on resolving patient-specific information and related medical truths. The objective of this chapter is to focus on these systems and explain relations with the field of artificial intelligence methods, approaches, or techniques in this manner.
APA, Harvard, Vancouver, ISO, and other styles
5

Deperlioglu, Omer. "Intelligent Techniques Inspired by Nature and Used in Biomedical Engineering." In Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems, 51–77. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4769-3.ch003.

Full text
Abstract:
Managing medical information and knowledge is becoming an increasing problem for healthcare professionals. Medical science that contains ever-increasing amounts of knowledge, such as the medical history of a patient, medical data about diseases, diagnosis and treatment methods, should be necessarily a science of information. The real problem faced by patients and healthcare providers is finding and using relevant knowledge at the right time. In this context, in the middle of 1950s, intelligent computer systems, called clinical decision support systems (CDSS), were introduced as a new concept. CDSS is defined as an active intelligent system that can help medical experts to make decisions by taking specific recommendations. Also, it provides decisions based on resolving patient-specific information and related medical truths. The objective of this chapter is to focus on these systems and explain relations with the field of artificial intelligence methods, approaches, or techniques in this manner.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Computer decision support systems; Family history"

1

De Sousa Brito, Matheus, Diego Bruzaca de Souza, Luís Victor Bastos Rezende, Gabriel Fortes Marques, Priscila Silva Fernandes, Vitor Bremgartner da Frota, and Luis Rivero. "Definindo um Sistema de Monitoramento em Tempo real para o Transporte Público da Cidade de Manaus." In Computer on the Beach. São José: Universidade do Vale do Itajaí, 2021. http://dx.doi.org/10.14210/cotb.v12.p490-492.

Full text
Abstract:
The management of public transportation suffers from the difficultyof predicting population growth and consequently meet its demandsin terms of quality and safety. With regard to safety, several computersystems have emerged to help prevent and treat transportproblems, such as detour of routes and speeding. However, in thecontext of the Manaus city, these systems cannot: (a) detect specificobjects (firearms, knives, among others) to identify assaults; and (b)identify overcrowding in means of transportation. The inclusion ofthese functionalities with the above mentioned ones may allow accessto more information to subsidize decision making and improvethe quality of security offered by the public transportation service.This article presents a proposal for an intelligent system to monitorthe safety of a bus related to the above mentioned points. In orderto raise the requirements and propose the graphical interface of thesystem, the techniques of benchmarking and focus group were used.The prototype presented allows simulating how the informationwould be presented to those responsible for monitoring the bus,in addition to generating reports for monitoring the history of themeans of transport and to support decision making regarding thesafety of passengers and servers.
APA, Harvard, Vancouver, ISO, and other styles
2

Chen, Zhiqiang, and Zahed Siddique. "CORBA-Based Task Requirement Driven Design System." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42781.

Full text
Abstract:
Today’s design environment has become more distributed and professional. Efficient design management can greatly improve the ability of a company’s competition. To increase efficiency of a design process coordination of Computer-Aided Design and Analysis tools are very important, especially for large complicated systems. In this paper, we introduce the concept of a requirement driven system. Design process usually involves fulfillment of requirements from top-end customer. Adopting requirement driven mechanisms will provide more convenience for design coordination automation and help us find the most resource saving solutions for specific product design. A CORBA framework is discussed to facilitate the implementation of methodologies for requirement driven design coordination. System architecture and modules for the framework are introduced to support a requirement publishing and responding service. Distribution of the tasks is determined by “stigmergy” algorithm, which makes the decision using the performance history of each team and designers. An example of a coffeemaker product design based on the framework, is presented to demonstrate the application of new design system.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Computer decision support systems; Family history' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography