Turning the crank for machine learning: ease, at what expense?
Lancet Digit Health
.
2019 Sep;1(5):e198-e199.
doi: 10.1016/S2589-7500(19)30112-8.
Epub 2019 Sep 5.
Authors
Tom J Pollard
1
,
Irene Chen
2
,
Jenna Wiens
3
,
Steven Horng
4
,
Danny Wong
5
,
Marzyeh Ghassemi
6
,
Heather Mattie
7
,
Emily Lindemer
8
,
Trishan Panch
8
Affiliations
1
Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: tpollard@mit.edu.
2
Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
3
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA.
4
Beth Israel Deaconess Medical Center, Boston, MA, USA.
5
Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK.
6
University of Toronto, Vector Institute, Toronto, ON, Canada.
7
Harvard T H Chan School of Public Health, Harvard University, Cambridge, MA, USA.
8
Wellframe, Boston, MA, USA.
PMID:
33323266
DOI:
10.1016/S2589-7500(19)30112-8
No abstract available
Publication types
Comment
MeSH terms
Arm
Deep Learning*
Exercise Test
Feasibility Studies
Humans