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