Predicting health outcomes from high‐dimensional longitudinal health histories using relational random forests

DOI10.1002/sam.11268OpenAlexW1911111913MaRDI QIDQ4969997

Zach Shahn, David Madigan, Patrick Ryan

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11268

zbMATH Keywords

classificationlongitudinalrandom forestsstrokehigh dimensionallabeled graphspredictive modelingmedical claims data

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Random forests
• Unnamed Item

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