Imperial College London
Alternate

DrHutanAshrafian

Faculty of Medicine, Department of Surgery & Cancer

Honorary Senior Research Fellow
 
 
 
//

Contact

 

+44 (0)20 3312 7651h.ashrafian

 
 
//

Location

 

1089Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Ashrafian:2018:10.1371/journal.pmed.1002692,
author = {Ashrafian, H and Darzi, A},
doi = {10.1371/journal.pmed.1002692},
journal = {PLoS Medicine},
title = {Transforming health policy through machine learning.},
url = {http://dx.doi.org/10.1371/journal.pmed.1002692},
volume = {15},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In their Perspective, Ara Darzi and Hutan Ashrafian give us a tour of the future policymaker's machine learning toolkit.
AU  - Ashrafian,H
AU  - Darzi,A
DO  - 10.1371/journal.pmed.1002692
PY  - 2018///
SN  - 1549-1277
TI  - Transforming health policy through machine learning.
T2  - PLoS Medicine
UR  - http://dx.doi.org/10.1371/journal.pmed.1002692
UR  - https://www.ncbi.nlm.nih.gov/pubmed/30422977
UR  - http://hdl.handle.net/10044/1/64462
VL  - 15
ER  -
Download