From Real-World Patient Data to Individualized Treatment Effects Using Machine Learning: Current and Future Methods to Address Underlying Challenges. (2021)

First Author: Bica I
Attributed to:  The Alan Turing Institute funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/cpt.1907

PubMed Identifier: 32449163

Publication URI: http://europepmc.org/abstract/MED/32449163

Type: Journal Article/Review

Volume: 109

Parent Publication: Clinical pharmacology and therapeutics

Issue: 1

ISSN: 0009-9236