Machine Learning Detects Heterogeneous Effects of Medicaid Coverage on Depression

By sjmartinez • February 25, 2024

Goto R, Inoue K, Osawa I, Baicker K, Fleming SL, Tsugawa Y. Machine Learning Detects Heterogeneous Effects of Medicaid Coverage on Depression. Am J Epidemiol. 2024 Feb 22:kwae008. doi: 10.1093/aje/kwae008. Epub ahead of print. PMID: 38400644.

Tags: Causal forest, causal inference, causal machine learning, depression, General Internal Medicine, generalized random forest, high-benefit approach, machine learning, medicaid, mental health, Oregon Health Insurance Experiment, Psychiatry, Publications

Sequencing of anti-CD19 therapies in the management of diffuse large B-cell lymphoma

Lownik J, Boiarsky J, Birhiray R, Merchant A, Mead M. Sequencing of anti-CD19 therapies in the management of diffuse large B-cell lymphoma. Clin Cancer Res.[...]

Outpatient hospitalist-run procedure service bridges the gap in oncology care

Ghanem G, Tsai HHC, Durant C, Feigenbaum GS, Glaeser AM. Outpatient hospitalist-run procedure service bridges the gap in oncology care. Transfus Apher Sci. 2024 Apr[...]

Statewide Survey of Primary Care and Subspecialty Providers on Hepatocellular Carcinoma Risk-Stratification and Surveillance Practices

Moon AM, Swier RM, Lane LM, Barritt AS 4th, Sanoff HK, Olshan AF, Wheeler SB, Ioannou GN, Kim NJ, Hagan S, Vutien P, Benefield T,[...]