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Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project.

التفاصيل البيبلوغرافية
العنوان: Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project.
المؤلفون: Kuo NI; Centre for Big Data Research in Health, The University of New South Wales, Sydney, Australia., Perez-Concha O; Centre for Big Data Research in Health, The University of New South Wales, Sydney, Australia., Hanly M; Centre for Big Data Research in Health, The University of New South Wales, Sydney, Australia., Mnatzaganian E; The University of New South Wales, Sydney, Australia., Hao B; The University of New South Wales, Sydney, Australia., Di Sipio M; The University of New South Wales, Sydney, Australia., Yu G; The University of New South Wales, Sydney, Australia., Vanjara J; The University of New South Wales, Sydney, Australia., Valerie IC; The University of New South Wales, Sydney, Australia., de Oliveira Costa J; Medicines Intelligence Research Program, School of Population Health, The University of New South Wales, Sydney, Australia., Churches T; School of Clinical Medicine, University of New South Wales, Sydney, Australia.; Ingham Institute of Applied Medical Research, Liverpool, Sydney, Australia., Lujic S; Centre for Big Data Research in Health, The University of New South Wales, Sydney, Australia., Hegarty J; Sydney Local Health District, Sydney, Australia., Jorm L; Centre for Big Data Research in Health, The University of New South Wales, Sydney, Australia., Barbieri S; Centre for Big Data Research in Health, The University of New South Wales, Sydney, Australia.
المصدر: JMIR medical education [JMIR Med Educ] 2024 Jan 16; Vol. 10, pp. e51388. Date of Electronic Publication: 2024 Jan 16.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101684518 Publication Model: Electronic Cited Medium: Internet ISSN: 2369-3762 (Electronic) Linking ISSN: 23693762 NLM ISO Abbreviation: JMIR Med Educ Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Toronto, ON : JMIR Publications, [2015]-
مواضيع طبية MeSH: Artificial Intelligence* , HIV Infections*/drug therapy, Humans ; Data Science ; Health Education ; Exercise
مستخلص: Large-scale medical data sets are vital for hands-on education in health data science but are often inaccessible due to privacy concerns. Addressing this gap, we developed the Health Gym project, a free and open-source platform designed to generate synthetic health data sets applicable to various areas of data science education, including machine learning, data visualization, and traditional statistical models. Initially, we generated 3 synthetic data sets for sepsis, acute hypotension, and antiretroviral therapy for HIV infection. This paper discusses the educational applications of Health Gym's synthetic data sets. We illustrate this through their use in postgraduate health data science courses delivered by the University of New South Wales, Australia, and a Datathon event, involving academics, students, clinicians, and local health district professionals. We also include adaptable worked examples using our synthetic data sets, designed to enrich hands-on tutorial and workshop experiences. Although we highlight the potential of these data sets in advancing data science education and health care artificial intelligence, we also emphasize the need for continued research into the inherent limitations of synthetic data.
(©Nicholas I-Hsien Kuo, Oscar Perez-Concha, Mark Hanly, Emmanuel Mnatzaganian, Brandon Hao, Marcus Di Sipio, Guolin Yu, Jash Vanjara, Ivy Cerelia Valerie, Juliana de Oliveira Costa, Timothy Churches, Sanja Lujic, Jo Hegarty, Louisa Jorm, Sebastiano Barbieri. Originally published in JMIR Medical Education (https://mededu.jmir.org), 16.01.2024.)
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معلومات مُعتمدة: United Kingdom WT_ Wellcome Trust
فهرسة مساهمة: Keywords: HIV; accessibility; antiretroviral therapy (ART); data privacy; data science; data sets; educational purposes; generative adversarial networks; generative model; health care AI; human immunodeficiency virus (HIV); hypotension; medical education; privacy; science education; sepsis
تواريخ الأحداث: Date Created: 20240116 Date Completed: 20240117 Latest Revision: 20240202
رمز التحديث: 20240202
مُعرف محوري في PubMed: PMC10828942
DOI: 10.2196/51388
PMID: 38227356
قاعدة البيانات: MEDLINE
الوصف
تدمد:2369-3762
DOI:10.2196/51388