The Lancet: Digital Health (Apr 2023)
Machine learning COVID-19 detection from wearables
- Bret Nestor,
- Jaryd Hunter,
- Raghu Kainkaryam,
- Erik Drysdale,
- Jeffrey B Inglis,
- Allison Shapiro,
- Sujay Nagaraj,
- Marzyeh Ghassemi,
- Luca Foschini,
- Anna Goldenberg
Affiliations
- Bret Nestor
- Department of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada; Vector Institute, Toronto, ON, Canada; Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
- Jaryd Hunter
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
- Raghu Kainkaryam
- Evidation Health, San Mateo, CA, USA
- Erik Drysdale
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
- Jeffrey B Inglis
- Interdepartmental Graduate Program in Dynamical Neuroscience, University of California, Santa Barbara, Santa Barbara, CA, USA
- Allison Shapiro
- Evidation Health, San Mateo, CA, USA
- Sujay Nagaraj
- Department of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada; Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
- Marzyeh Ghassemi
- Department of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada; Vector Institute, Toronto, ON, Canada; Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Luca Foschini
- Evidation Health, San Mateo, CA, USA; Sage Bionetworks, Seattle, WA, USA
- Anna Goldenberg
- Department of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada; Vector Institute, Toronto, ON, Canada; Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; CIFAR, Toronto, ON, Canada
- Journal volume & issue
-
Vol. 5,
no. 4
pp. e182 – e184