Explainable statistical learning in public health for policy development: the case of real-world suicide data

Paul Van Schaik, Yonghong Peng, Adedokun Ojelabi, Jonathan Ling

Research output: Contribution to journal › Article › peer-review

153 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Explainable statistical learning in public health for policy development: the case of real-world suicide data'. Together they form a unique fingerprint.

Keyphrases

Computer Science

Nursing and Health Professions

Medicine and Dentistry

Psychology

Food Science