المؤلفون: Pinheiro, Paula, Lima, Glaucia Posso

المصدر: RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 3 No. 11 (2022): EDITORIAL - CLICK HERE TO ACCESS THE ARTICLES; e3112053 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 3 Núm. 11 (2022): EDITORIAL - HAGA CLIC AQUÍ PARA ACCEDER A LOS ARTÍCULOS; e3112053 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; v. 3 n. 11 (2022): EDITORIAL - CLIQUE AQUI PARA ACESSAR OS ARTIGOS; e3112053 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 3 N.º 11 (2022): EDITORIAL - CLIQUE AQUI PARA ACESSAR OS ARTIGOS; e3112053 ; 2675-6218

مصطلحات موضوعية: Conhecimento de gestão. Previne Brasil. Análise de dados em saúde, management knowledge, Previne Brazil, health data analysis, conocimiento de gestión, prevenir brasil, Análisis de datos de salud

وصف الملف: application/pdf

العلاقة: https://recima21.com.br/index.php/recima21/article/view/2053/1639Test; https://recima21.com.br/index.php/recima21/article/view/2053Test

الإتاحة: https://doi.org/10.47820/recima21.v3i11.2053Test
https://recima21.com.br/index.php/recima21/article/view/2053Test

المؤلفون: Kavianpour, Sanaz, Sutherland, James, Mansouri-Benssassi, Esma, Coull, Natalie, Jefferson, Emily

المصدر: Kavianpour , S , Sutherland , J , Mansouri-Benssassi , E , Coull , N & Jefferson , E 2022 , ' Next-generation capabilities in trusted research environments : interview study ' , Journal of Medical Internet Research , vol. 24 , no. 9 , e33720 . https://doi.org/10.2196/33720Test

مصطلحات موضوعية: Data safe haven, Health data analysis, Trusted research environment, TRE

وصف الملف: application/pdf

العلاقة: https://rke.abertay.ac.uk/en/publications/0f1e4db3-64cb-49c8-9a60-bea6f235bd20Test

الإتاحة: https://doi.org/10.2196/33720Test
https://rke.abertay.ac.uk/en/publications/0f1e4db3-64cb-49c8-9a60-bea6f235bd20Test
https://rke.abertay.ac.uk/ws/files/47601645/Kavianpour_Next_GenerationCapabilitiesInTrustedResearchEnvironments_Published_2022.pdfTest

المؤلفون: Ana Paula Ritto, Adriana Ladeira de Araujo, Carlos Roberto Ribeiro de Carvalho, Heraldo Possolo De Souza, Patricia Manga e Silva Favaretto, Vivian Renata Boldrim Saboya, Michelle Louvaes Garcia, Leslie Domenici Kulikowski, Esper Georges Kallás, Antonio José Rodrigues Pereira, Vilson Cobello Junior, Katia Regina Silva, Eidi Raquel Franco Abdalla, Aluisio Augusto Cotrim Segurado, Ester Cerdeira Sabino, Ulysses Ribeiro Junior, Rossana Pulcineli Vieira Francisco, Anna Miethke-Morais, Anna Sara Shafferman Levin, Marcio Valente Yamada Sawamura, Juliana Carvalho Ferreira, Clovis Artur Silva, Thais Mauad, Nelson da Cruz Gouveia, Leila Suemi Harima Letaif, Marco Antonio Bego, Linamara Rizzo Battistella, Alberto José da Silva Duarte, Marilia Cerqueira Leite Seelaender, Julio Marchini, Orestes Vicente Forlenza, Vanderson Geraldo Rocha, Maria Cassia Mendes-Correa, Silvia Figueiredo Costa, Giovanni Guido Cerri, Eloisa Silva Dutra de Oliveira Bonfá, Roger Chammas, Tarcisio Eloy Pessoa de Barros Filho, Geraldo Busatto Filho

مصطلحات موضوعية: Mental Health Nursing, Midwifery, Nursing not elsewhere classified, Aboriginal and Torres Strait Islander Health, Aged Health Care, Care for Disabled, Community Child Health, Environmental and Occupational Health and Safety, Epidemiology, Family Care, Health and Community Services, Health Care Administration, Health Counselling, Health Information Systems (incl. Surveillance), Health Promotion, Preventive Medicine, Primary Health Care, Public Health and Health Services not elsewhere classified, Nanotoxicology, Health and Safety, Medicine, Nursing and Health Curriculum and Pedagogy, COVID-19, cross-disciplinarity, research collaboration, research management, research data, data science, data management, health data analysis

العلاقة: https://figshare.com/articles/dataset/Data_Sheet_1_Data-driven_cross-disciplinary_collaboration_lessons_learned_at_the_largest_academic_health_center_in_Latin_America_during_the_COVID-19_pandemic_PDF/25294423Test

الإتاحة: https://doi.org/10.3389/fpubh.2024.1369129.s001Test
https://figshare.com/articles/dataset/Data_Sheet_1_Data-driven_cross-disciplinary_collaboration_lessons_learned_at_the_largest_academic_health_center_in_Latin_America_during_the_COVID-19_pandemic_PDF/25294423Test

المؤلفون: Peek, Niels, Pereira Rodrigues, Pedro

المصدر: Peek , N & Pereira Rodrigues , P 2018 , ' Three controversies in health data science ' , International Journal of Data Science and Analytics . https://doi.org/10.1007/s41060-018-0109-yTest

مصطلحات موضوعية: Health data reuse, Health data analysis, Health data security

الإتاحة: https://doi.org/10.1007/s41060-018-0109-yTest
https://research.manchester.ac.uk/en/publications/58b9863d-f52f-46bc-ab92-009a1bf3b585Test

المؤلفون: Jae Min (3482336)

مصطلحات موضوعية: Medicine, Sociology, Immunology, Mental Health, Infectious Diseases, Virology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, Supplementary Data, 2. Residual ACF correlogram, thrombocytopenia Supplementary Table 3, 1. Residual ACF correlogram, virus Supplementary Table 1. Diseases, confidence, health data analysis Supplemental Fig, thrombocytopenia Supplemental Fig, detection rates, hemorrhagic conditions Supplementar.

العلاقة: https://figshare.com/articles/dataset/Supplementary_Data_for_Epidemiology_and_viral_etiology_of_pediatric_immune_thrombocytopenia_through_Korean_public_health_data_analysis/14185520Test

الإتاحة: https://doi.org/10.5281/zenodo.4424033Test

المؤلفون: Zhu, Qikui, Du, Bo, Wu, Jia, Yan, Pingkun

المصدر: Zhu , Q , Du , B , Wu , J & Yan , P 2018 , A deep learning health data analysis approach : automatic 3D prostate MR segmentation with densely-connected volumetric ConvNets . in 2018 International Joint Conference on Neural Networks (IJCNN) . Piscataway, NJ , pp. 1-6 , 2018 International Joint Conference on Neural Networks, IJCNN 2018 , Rio de Janeiro , Brazil , 8/07/18 . https://doi.org/10.1109/IJCNN.2018.8489136Test

مصطلحات موضوعية: biological organs, biomedical MRI, cancer, convolution, data analysis, feedforward neural nets, image segmentation, learning (artificial intelligence), medical image processing, neural net architecture, long connections strategy, prostate dataset, deep learning health data analysis approach, densely-connected volumetric ConvNets, automated prostate segmentation, 3D medical images, clinical applications, prostate cancer, enlarged prostate, densely-connected layers, prostate region, spatial region information, network architecture, vanishing-gradient problem, 3D convolutional neural network, magnetic resonance images, automatic 3D prostate MR segmentation, prostatitis, Three-dimensional displays, Encoding

الإتاحة: https://doi.org/10.1109/IJCNN.2018.8489136Test
https://researchers.mq.edu.au/en/publications/6aaa1c8c-e285-4e05-baf7-d86f1b8359c7Test
http://www.scopus.com/inward/record.url?scp=85056507644&partnerID=8YFLogxKTest

المؤلفون: Yu, Lili

المصدر: Jiann-Ping Hsu College of Public Health Syllabi

مصطلحات موضوعية: Georgia Southern University, JPHCOPH, Jiann-Ping Hsu College of Public Health, COPH, Public health, Biostatistics, Health data analysis applications, Critical thinking skills

وصف الملف: application/pdf

العلاقة: https://digitalcommons.georgiasouthern.edu/coph-syllabi/263Test; https://digitalcommons.georgiasouthern.edu/context/coph-syllabi/article/1263/viewcontent/PUBH_6541_Yu.pdfTest

الإتاحة: https://digitalcommons.georgiasouthern.edu/coph-syllabi/263Test
https://digitalcommons.georgiasouthern.edu/context/coph-syllabi/article/1263/viewcontent/PUBH_6541_Yu.pdfTest

المؤلفون: Pedro Pereira Rodrigues, Niels Peek

المصدر: Peek, N & Pereira Rodrigues, P 2018, ' Three controversies in health data science ', International Journal of Data Science and Analytics . https://doi.org/10.1007/s41060-018-0109-yTest
International Journal of Data Science and Analytics

مصطلحات موضوعية: Health data security, Health records, 01 natural sciences, Health informatics, Health data, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Regular Paper, Health data analysis, 030212 general & internal medicine, Sociology, 0101 mathematics, Healthcare data, business.industry, Applied Mathematics, Corporate governance, Viewpoints, 3. Good health, Computer Science Applications, Clinical trial, Management information systems, Health data reuse, Computational Theory and Mathematics, Modeling and Simulation, Engineering ethics, business, Information Systems

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6529c2881ef9dff1cfbc2a6060861534Test
https://doi.org/10.1007/s41060-018-0109-yTest

المؤلفون: Frick, Johann, Möckel, Martin, Muller, Reinhold, Searle, Julia, Somasundaram, Rajan, Slagman, Anna

المصدر: BMJ Open

مصطلحات موضوعية: Male, emergency department, Research, secondary health data analysis, Middle Aged, avoidable ed-visits, ambulatory care sensitive conditions, Hospitalization, Germany, Terminology as Topic, Emergency Medicine, Ambulatory Care, Humans, Female, Emergency Service, Hospital, Aged

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=pmid________::79d86034cc942b887c0e30893b1853e2Test
http://europepmc.org/articles/PMC5665266Test

المؤلفون: Rochani, Haresh

المصدر: Jiann-Ping Hsu College of Public Health Syllabi

مصطلحات موضوعية: Georgia Southern University, JPHCOPH, Jiann-Ping Hsu College of Public Health, COPH, Public health, Biostatistics, Sampling, Probability, Basic discrete and continuous distributions, Descriptive statistics, Hypothesis testing, Confidence intervals, Categorical data analysis, Regression, Correlation, Health data analysis

وصف الملف: application/pdf

العلاقة: https://digitalcommons.georgiasouthern.edu/coph-syllabi/195Test; https://digitalcommons.georgiasouthern.edu/context/coph-syllabi/article/1195/viewcontent/Biostatistics_Rochani.pdfTest

الإتاحة: https://digitalcommons.georgiasouthern.edu/coph-syllabi/195Test
https://digitalcommons.georgiasouthern.edu/context/coph-syllabi/article/1195/viewcontent/Biostatistics_Rochani.pdfTest