Published on in Vol 6, No 4 (2020): Oct-Dec
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/22400, first published
.
Journals
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- Yan Y, Chen C, Liu Y, Zhang Z, Xu L, Pu K. Application of Machine Learning for the Prediction of Etiological Types of Classic Fever of Unknown Origin. Frontiers in Public Health 2021;9 View
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- Celi L. PLOS Digital Health, a new journal driving transformation in the delivery of equitable and unbiased healthcare. PLOS Digital Health 2022;1(1):e0000009 View
- Chi S, Guo A, Heard K, Kim S, Foraker R, White P, Moore N. Development and Structure of an Accurate Machine Learning Algorithm to Predict Inpatient Mortality and Hospice Outcomes in the Coronavirus Disease 2019 Era. Medical Care 2022;60(5):381 View
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- Hamilton A, Strauss A, Martinez D, Hinson J, Levin S, Lin G, Klein E. Machine learning and artificial intelligence: applications in healthcare epidemiology. Antimicrobial Stewardship & Healthcare Epidemiology 2021;1(1) View
- Vesoulis Z, Husain A, Cole F. Improving child health through Big Data and data science. Pediatric Research 2023;93(2):342 View
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- Huang J, Galal G, Etemadi M, Vaidyanathan M. Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review. JMIR Medical Informatics 2022;10(5):e36388 View
- Le J, Shashikumar S, Malhotra A, Nemati S, Wardi G. Making the Improbable Possible: Generalizing Models Designed for a Syndrome-Based, Heterogeneous Patient Landscape. Critical Care Clinics 2023;39(4):751 View
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- Cary M, Zink A, Wei S, Olson A, Yan M, Senior R, Bessias S, Gadhoumi K, Jean-Pierre G, Wang D, Ledbetter L, Economou-Zavlanos N, Obermeyer Z, Pencina M. Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review. Health Affairs 2023;42(10):1359 View
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- Defilippo A, Bertucci G, Zurzolo C, Veltri P, Guzzi P. On the computational approaches for supporting triage systems. Interdisciplinary Medicine 2023;1(3) View
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- Rusinovich Y, Vareiko A, Shestak N. Human-centered Evaluation of AI and ML Projects. Web3 Journal: ML in Health Science 2024;1(2) View
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