Use of Machine Learning to Estimate the Per-Protocol Effect of Low-Dose Aspirin on Pregnancy Outcomes

Author:

Zhong Yongqi1,Brooks Maria M.2,Kennedy Edward H.3,Bodnar Lisa M.2,Naimi Ashley I.4

Affiliation:

1. Department of Epidemiology, The Johns Hopkins University, Baltimore, Maryland

2. Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania

3. Department of Data Science and Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania

4. Department of Epidemiology, Emory University, Atlanta, Georgia

Publisher

American Medical Association (AMA)

Subject

General Medicine

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of High-Risk Pregnancies in India Using Artificial Intelligence;2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC);2023-11-17

2. Association of statin use with outcomes of patients admitted with COVID-19: an analysis of electronic health records using superlearner;BMC Infectious Diseases;2023-02-24

3. Machine Learning Framework for Women Safety Prediction using Decision Tree;2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT);2023-01-23

4. Comparative Analysis of High-Risk Pregnancy Prediction Using Machine Learning;Communication and Intelligent Systems;2023

5. Errors in Figure 1 and Supplement and Clarification of Methods;JAMA Network Open;2022-04-14

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