Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data-Reference-Cited by-同舟云学术

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Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data

Published:2024-04-12 Issue: Volume: Page:1-13
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Chen Jianmin¹,Aseltine Robert H.²³,Wang Fei⁴,Chen Kun¹³^ORCID

Affiliation:

1. Department of Statistics, University of Connecticut, Storrs, CT

2. Center for Population Health, University of Connecticut Health Center (UCHC), Farmington, CT

3. Division of Behavioral Sciences and Community Health, UCHC, Farmington, CT

4. Weill Cornell Medical College, Cornell University, New York, NY

Funder

U.S. National Institutes of Health

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2024.2326621

Reference54 articles.

1. Familial, psychiatric, and socioeconomic risk factors for suicide in young people: nested case-control study

2. On the existence of maximum likelihood estimates in logistic regression models

3. Predicting Suicidal Behavior From Longitudinal Electronic Health Records

4. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

5. Tree-aggregated predictive modeling of microbiome data

Cited by 1 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. Identifying clinical feature clusters toward predicting stroke in patients with asymptomatic carotid stenosis;International Journal of Data Science and Analytics;2024-08-09

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