Zeitschriftenartikel zum Thema „Public health Data processing“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Machen Sie sich mit Top-50 Zeitschriftenartikel für die Forschung zum Thema "Public health Data processing" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Sehen Sie die Zeitschriftenartikel für verschiedene Spezialgebieten durch und erstellen Sie Ihre Bibliographie auf korrekte Weise.
Taylor, Mark J., und Tess Whitton. „Public Interest, Health Research and Data Protection Law: Establishing a Legitimate Trade-Off between Individual Control and Research Access to Health Data“. Laws 9, Nr. 1 (14.02.2020): 6. http://dx.doi.org/10.3390/laws9010006.
Siriwardena, N., und M. Dharmawardhana. „Real time data collection and processing using mobile technology: A public health perspective“. Sri Lanka Journal of Bio-Medical Informatics 1 (24.10.2011): 7. http://dx.doi.org/10.4038/sljbmi.v1i0.3539.
Rodriguez Ayuso, Juan Francisco. „Processing of personal data relating to the health of the data subject in a pandemic situation“. Glimpse 22, Nr. 1 (2021): 95–99. http://dx.doi.org/10.5840/glimpse202122115.
Jones, Julie Miller. „Food processing: criteria for dietary guidance and public health?“ Proceedings of the Nutrition Society 78, Nr. 1 (25.09.2018): 4–18. http://dx.doi.org/10.1017/s0029665118002513.
Becker, Regina, Adrian Thorogood, Johan Ordish und Michael J. S. Beauvais. „COVID-19 Research: Navigating the European General Data Protection Regulation“. Journal of Medical Internet Research 22, Nr. 8 (27.08.2020): e19799. http://dx.doi.org/10.2196/19799.
Cummings, Stuart W. „Distributed Databases for Clinical Data Processing“. Drug Information Journal 27, Nr. 4 (Oktober 1993): 949–56. http://dx.doi.org/10.1177/009286159302700403.
Pimazzoni, Monica. „Global Data Management: A Winning Approach to Clinical Data Processing“. Drug Information Journal 32, Nr. 2 (April 1998): 569–71. http://dx.doi.org/10.1177/009286159803200230.
Woods, Valerie. „Musculoskeletal disorders and visual strain in intensive data processing workers“. Occupational Medicine 55, Nr. 2 (01.03.2005): 121–27. http://dx.doi.org/10.1093/occmed/kqi029.
Determann, Lothar. „Healthy Data Protection“. Michigan Technology Law Review, Nr. 26.2 (2020): 229. http://dx.doi.org/10.36645/mtlr.26.2.healthy.
Wu, Hong Jiang, Xiang Yang Liu, Hai Yan Zhao und Xiao Ting Li. „Research on Public Health Service Systems Based on Cloud Computing“. Applied Mechanics and Materials 687-691 (November 2014): 2849–52. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2849.
Bertalya, Bertalya, Prihandoko Prihandoko, Lilis Setyowati, Febrian Iftikhar Irawan und Syahifa Rahmita Irlianti. „Formulation of city health development index using data mining“. Indonesian Journal of Electrical Engineering and Computer Science 23, Nr. 1 (01.07.2021): 362. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp362-369.
Sukumar, Sreenivas R., Ramachandran Natarajan und Regina K. Ferrell. „Quality of Big Data in health care“. International Journal of Health Care Quality Assurance 28, Nr. 6 (13.07.2015): 621–34. http://dx.doi.org/10.1108/ijhcqa-07-2014-0080.
Unwin, Elizabeth, James Codde, Louise Gill, Suzanne Stevens und Timothy Nelson. „The WA Hospital Morbidity Data System: An Evaluation of its Performance and the Impact of Electronic Data Transfer“. Health Information Management 26, Nr. 4 (Dezember 1996): 189–92. http://dx.doi.org/10.1177/183335839702600407.
Leeson, William, Adam Resnick, Daniel Alexander und John Rovers. „Natural Language Processing (NLP) in Qualitative Public Health Research: A Proof of Concept Study“. International Journal of Qualitative Methods 18 (01.01.2019): 160940691988702. http://dx.doi.org/10.1177/1609406919887021.
Arisetty, Murty. „A Team-Based Approach to Clinical Data Processing“. Drug Information Journal 19, Nr. 1 (Januar 1985): 81–84. http://dx.doi.org/10.1177/009286158501900113.
Leighton, Charles C. „Clinical Data Processing in Retrospect and in Prospect“. Drug Information Journal 20, Nr. 1 (Januar 1986): 7–15. http://dx.doi.org/10.1177/009286158602000103.
Gillum, Terry L., Robert H. George und Jack E. Leitmeyer. „An Autoencoder for Clinical and Regulatory Data Processing“. Drug Information Journal 29, Nr. 1 (Januar 1995): 107–13. http://dx.doi.org/10.1177/009286159502900115.
McDowell, Ian, Margaret Stewart, Betsy Kristjansson, Elizabeth Sykes, Gerry Hill und Joan Lindsay. „Data Collected in the Canadian Study of Health and Aging“. International Psychogeriatrics 13, S1 (Februar 2001): 29–39. http://dx.doi.org/10.1017/s1041610202007962.
Carpenter, Joseph E., Arthur S. Chang, Alvin C. Bronstein, Richard G. Thomas und Royal K. Law. „Identifying Incidents of Public Health Significance Using the National Poison Data System, 2013–2018“. American Journal of Public Health 110, Nr. 10 (Oktober 2020): 1528–31. http://dx.doi.org/10.2105/ajph.2020.305842.
Hrzic, Rok, Timo Clemens, Daan Westra und Helmut Brand. „Comparability in Cross-National Health Research Using Insurance Claims Data: The Cases of Germany and The Netherlands“. Das Gesundheitswesen 82, S 01 (19.11.2019): S83—S90. http://dx.doi.org/10.1055/a-1005-6792.
Lee, Edmund W. J., und Kasisomayajula Viswanath. „Big Data in Context: Addressing the Twin Perils of Data Absenteeism and Chauvinism in the Context of Health Disparities Research“. Journal of Medical Internet Research 22, Nr. 1 (07.01.2020): e16377. http://dx.doi.org/10.2196/16377.
Waterhouse, Andrew L. „Consumer Labels can Convey Polyphenolic Content: Implications for Public Health“. Clinical and Developmental Immunology 12, Nr. 1 (2005): 43–46. http://dx.doi.org/10.1080/10446670410001722249.
Conway, Mike, Mengke Hu und Wendy W. Chapman. „Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data“. Yearbook of Medical Informatics 28, Nr. 01 (August 2019): 208–17. http://dx.doi.org/10.1055/s-0039-1677918.
Miningwa, Alex. „INFLUENCE OF SOURCE OF DATA, INFORMATION FLOWS AND EXCHANGE PLATFORMS ON LEVEL OF HIS FEEDBACK IN PUBLIC HEALTH FACILITIES“. American Journal of Data, Information and Knowledge Management 2, Nr. 1 (05.08.2021): 43–53. http://dx.doi.org/10.47672/ajdikm.763.
Wolfe, Karen. „Data Base or Word Processing: Knowing the Difference Can Make the Difference“. AAOHN Journal 40, Nr. 4 (April 1992): 194–95. http://dx.doi.org/10.1177/216507999204000407.
Jackson, Heide, und Edward R. Berchick. „Improvements in Uninsurance Estimates for Fully Imputed Cases in the Current Population Survey Annual Social and Economic Supplement“. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 57 (Januar 2020): 004695802092355. http://dx.doi.org/10.1177/0046958020923554.
Lyons, Ronan A. „How much does quality matter: the value of data“. Injury Prevention 26, Nr. 4 (21.07.2020): 397–99. http://dx.doi.org/10.1136/injuryprev-2019-043369.
Martínez-Castaño, Rodrigo, Juan C. Pichel und David E. Losada . „A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media“. International Journal of Environmental Research and Public Health 17, Nr. 13 (01.07.2020): 4752. http://dx.doi.org/10.3390/ijerph17134752.
Salsburg, David. „Deming Principles Applied to Processing Data from Case Report Forms“. Drug Information Journal 36, Nr. 1 (Januar 2002): 135–41. http://dx.doi.org/10.1177/009286150203600117.
Black, Dennis, Kjeld Molvig, Anna Bagniewska, Stan Edlavitch, Cary Fox, Stephen Hulley und W. McFate Smith. „A Distributed Data Processing System for a Multicenter Clinical Trial“. Drug Information Journal 20, Nr. 1 (Januar 1986): 83–92. http://dx.doi.org/10.1177/009286158602000113.
Alwitt, Josh, und John Kinney. „The Impact of Document Image Management on Clinical Data Processing“. Drug Information Journal 27, Nr. 4 (Oktober 1993): 995–1000. http://dx.doi.org/10.1177/009286159302700409.
English, Ned, Andrew Anesetti-Rothermel, Chang Zhao, Andrew Latterner, Adam F. Benson, Peter Herman, Sherry Emery et al. „Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology“. Journal of Medical Internet Research 23, Nr. 8 (27.08.2021): e24408. http://dx.doi.org/10.2196/24408.
Budhiningtias Winanti, Marliana, und Meylan Lesnusa. „Sistem Informasi Pelayanan Data Pasien pada Laboratorium UPTD Balai Kesehatan Paru Masyarakat (BKPM) Provinsi Maluka“. Jurnal Manajemen Informatika (JAMIKA) 9, Nr. 1 (13.05.2019): 1–8. http://dx.doi.org/10.34010/jamika.v9i1.1533.
Chorianopoulos, Konstantinos, und Karolos Talvis. „Flutrack.org: Open-source and linked data for epidemiology“. Health Informatics Journal 22, Nr. 4 (26.07.2016): 962–74. http://dx.doi.org/10.1177/1460458215599822.
Bhat, Mohammad Hanan. „A Comprehensive Multi-Modal Framework for Plant Health Monitoring“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. VII (20.07.2021): 1793–95. http://dx.doi.org/10.22214/ijraset.2021.36739.
Kassekert, R., M. Easwar, M. Glaser, R. Ventham und A. Bate. „PNS271 Automation in Routine Use for Data Collection and Processing for Scalable Faster RWE Generation“. Value in Health 23 (Dezember 2020): S686. http://dx.doi.org/10.1016/j.jval.2020.08.1715.
Blumenthal, Wendy, Temitope O. Alimi, Sandra F. Jones, David E. Jones, Joseph D. Rogers, Vicki B. Benard und Lisa C. Richardson. „Using informatics to improve cancer surveillance“. Journal of the American Medical Informatics Association 27, Nr. 9 (01.09.2020): 1488–95. http://dx.doi.org/10.1093/jamia/ocaa149.
Buchan, I., und J. Ainsworth. „Combining Health Data Uses to Ignite Health System Learning“. Methods of Information in Medicine 54, Nr. 06 (2015): 479–87. http://dx.doi.org/10.3414/me15-01-0064.
Lys, Candice, Dionne Gesink, Carol Strike und June Larkin. „Body Mapping as a Youth Sexual Health Intervention and Data Collection Tool“. Qualitative Health Research 28, Nr. 7 (05.01.2018): 1185–98. http://dx.doi.org/10.1177/1049732317750862.
Martin-Sanchez, F., und V. Maojo. „Bioinformatics: Towards New Directions for Public Health“. Methods of Information in Medicine 43, Nr. 03 (2004): 208–14. http://dx.doi.org/10.1055/s-0038-1633861.
Perpoil, Antoine, Gael Grimandi, Stéphane Birklé, Jean-François Simonet, Anne Chiffoleau und François Bocquet. „Public Health Impact of Using Biosimilars, Is Automated Follow up Relevant?“ International Journal of Environmental Research and Public Health 18, Nr. 1 (29.12.2020): 186. http://dx.doi.org/10.3390/ijerph18010186.
Pynzaru, Iury V. „HEALTH ASSESSMENT OF WORKERS OF MEAT PROCESSING PLANTS“. Hygiene and sanitation 98, Nr. 3 (29.04.2019): 280–87. http://dx.doi.org/10.18821/0016-9900-2019-98-3-280-287.
Mchenry, Daniel James, und Nigel Mckelvey. „The Ethical Issues Surrounding Sections 175-178 of the UK's Data Protection Bill“. International Journal of Innovation in the Digital Economy 10, Nr. 1 (Januar 2019): 53–60. http://dx.doi.org/10.4018/ijide.2019010105.
Geukes, Cornelia, und Horst M. Müller. „Physiological Correlates of Processing Health-Related Information: An Idea for the Adoption of a Foreign Field“. Nursing Reports 11, Nr. 1 (17.03.2021): 175–86. http://dx.doi.org/10.3390/nursrep11010017.
Liu, Jingjing, Guangyuan Shi, Jing Zhou und Qiumei Yao. „Prediction of College Students’ Psychological Crisis Based on Data Mining“. Mobile Information Systems 2021 (17.05.2021): 1–7. http://dx.doi.org/10.1155/2021/9979770.
Brown, Adrian Paul, und Sean M. Randall. „Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model“. JMIR Medical Informatics 8, Nr. 9 (23.09.2020): e18920. http://dx.doi.org/10.2196/18920.
Botes, Marietjie, Melodie Nöthling Slabbert und Antonel Olckers. „Data Commercialisation in the South African Health Care Context“. Potchefstroom Electronic Law Journal 24 (12.08.2021): 1–35. http://dx.doi.org/10.17159/1727-3781/2021/v24i0a8577.
Lach, Daniel Eryk. „Przetwarzanie i ochrona danych dotyczących zdrowia przez organizatora systemu opieki zdrowotnej“. Studia Prawa Publicznego, Nr. 3 (31) (15.10.2020): 53–72. http://dx.doi.org/10.14746/spp.2020.3.31.3.
Sheikh, Asim. „The Data Protection (Amendment) Act, 2003: The Data Protection Directive and its Implications for Medical Research in Ireland“. European Journal of Health Law 12, Nr. 4 (2005): 357–72. http://dx.doi.org/10.1163/157180905775088568.
Sujin, J. S., N. Gandhiraj, D. Selvakumar und Satheesh S. Kumar. „Public E-Health Network System Using Arduino Controller“. Journal of Computational and Theoretical Nanoscience 16, Nr. 2 (01.02.2019): 544–49. http://dx.doi.org/10.1166/jctn.2019.7766.