Guidelines for reinforcement learning in healthcare
Nat Med
.
2019 Jan;25(1):16-18.
doi: 10.1038/s41591-018-0310-5.
Authors
Omer Gottesman
#
1
,
Fredrik Johansson
#
2
,
Matthieu Komorowski
3
4
,
Aldo Faisal
5
6
7
8
,
David Sontag
2
,
Finale Doshi-Velez
1
,
Leo Anthony Celi
9
10
11
Affiliations
1
Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
2
Institute for Medical Engineering and Science, MIT, Cambridge, MA, USA.
3
Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, MA, USA.
4
Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
5
Department of Bioengineering, Imperial College London, London, UK.
6
Department of Computing, Imperial College London, London, UK.
7
Data Science Institute, London, UK.
8
MRC London Institute of Clinical Sciences, London, UK.
9
Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, MA, USA. lceli@mit.edu.
10
Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA. lceli@mit.edu.
11
MIT Critical Data, Cambridge, MA, USA. lceli@mit.edu.
#
Contributed equally.
PMID:
30617332
DOI:
10.1038/s41591-018-0310-5
No abstract available
MeSH terms
Clinical Decision-Making
Deep Learning*
Delivery of Health Care*
Guidelines as Topic*
Humans