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

Statistical Analysis and Data Mining

Zach Shahn¹  David Madigan²  Patrick Ryan³ 

[1]Department of Statistics Columbia University Room 1005 SSW, MC 4690, 1255 Amsterdam Avenue New York, NY 10027 USA

[2]Department of Statistics Columbia University Room 1005 SSW, MC 4690, 1255 Amsterdam Avenue New York, NY 10027 USAObservational Health Data Sciences and Informatics (OHDSI) New York USA

[3]Observational Health Data Sciences and Informatics (OHDSI) New York USAJanssen Research and Development Titusville, NJ USA

关键词: predictive modeling;    random forests;    classification;    labeled graphs;    longitudinal;    high dimensional;    medical claims data;    stroke;   

DOI  :  10.1002/sam.11268

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 授权许可】

Unknown