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Peer-Reviewed Publication
NPJ Digit Med2020;387.January 1, 2020Journal Article

"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets.

Trishan Panch1,2, Tom J Pollard3, Heather Mattie2,4, Emily Lindemer2, Pearse A Keane5, Leo Anthony Celi3,4,6
1Division of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA USA.
2Wellframe Inc., Boston, MA USA.
3Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA USA.
4Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA.
5NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.
6Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA USA.
PubMed PMC DOI PDF

Abstract

Benchmark datasets have a powerful normative influence: by determining how the real world is represented in data, they define which problems will first be solved by algorithms built using the datasets and, by extension, who these algorithms will work for. It is desirable for these datasets to serve four functions: (1) enabling the creation of clinically relevant algorithms; (2) facilitating like-f…

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