Beyond mathematics, statistics, and programming: data science, machine learning, and artificial intelligence competencies and curricula for clinicians, informaticians, science journalists, and researchers-Reference-Cited by-同舟云学术

Beyond mathematics, statistics, and programming: data science, machine learning, and artificial intelligence competencies and curricula for clinicians, informaticians, science journalists, and researchers

Published:2023-07-18 Issue: Volume: Page:1-9
ISSN:2047-6965
Container-title:Health Systems
language:en
Short-container-title:Health Systems

Author:

Hersh William R.¹,Hoyt Robert E.²,Chamberlin Steven¹,Ancker Jessica S.³,Gupta Aditi⁴,Borlawsky-Payne Tara B.⁴

Affiliation:

1. Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA

2. Department of Medicine, Virginia Commonwealth University, Richmond, VA, USA

3. Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA

4. Institute for Informatics, Washington University, St. Louis, MO, USA

Publisher

Informa UK Limited

Subject

Health Informatics,Health Policy,Management Science and Operations Research,Information Systems,Human-Computer Interaction

Link

https://www.tandfonline.com/doi/pdf/10.1080/20476965.2023.2237745

Reference16 articles.

1. The COVID-19 Pandemic and the Power of Numbers

2. Using Visual Analogies To Teach Introductory Statistical Concepts

3. Harnessing the Promise of Artificial Intelligence Responsibly

4. Algorithmovigilance—Advancing Methods to Analyze and Monitor Artificial Intelligence–Driven Health Care for Effectiveness and Equity

5. Evaluation of Participants' Reaction and Learning in a Taught Analytics and Modelling Academy Program in U.K.‘s National Health Service

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