Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.
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| Title: | Machine learning for detection of heterogeneous effects of Medicaid coverage on depression. |
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| Authors: | Goto R; Department of Pediatrics, The University of Tokyo Hospital, Tokyo 113-8655, Japan., Inoue K; Department of Social Epidemiology, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan., Osawa I; Department of Emergency and Critical Care Medicine, The University of Tokyo Hospital, Tokyo 113-8655, Japan., Baicker K; University of Chicago, Chicago, IL 60637, United States., Fleming SL; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, United States., Tsugawa Y; Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, United States.; Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, CA 90095, United States. |
| Source: | American journal of epidemiology [Am J Epidemiol] 2024 Jul 08; Vol. 193 (7), pp. 951-958. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1476-6256 |
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| DOI: | 10.1093/aje/kwae008 |
