Physiology as a Lingua Franca for Clinical Machine Learning
oleh: Gopal P. Sarma, Erik Reinertsen, Aaron Aguirre, Chris Anderson, Puneet Batra, Seung-Hoan Choi, Paolo Di Achille, Nathaniel Diamant, Patrick Ellinor, Connor Emdin, Akl C. Fahed, Samuel Friedman, Lia Harrington, Jennifer E. Ho, Amit V. Khera, Shaan Khurshid, Marcus Klarqvist, Steve Lubitz, Anthony Philippakis, James Pirruccello, Christopher Reeder, Collin Stultz, Brandon Westover
| Format: | Article |
|---|---|
| Diterbitkan: | Elsevier 2020-05-01 |
Deskripsi
The intersection of medicine and machine learning (ML) has the potential to transform healthcare. We describe how physiology, a foundational discipline of medical training and practice with a rich quantitative history, could serve as a starting point for the development of a common language between clinicians and ML experts, thereby accelerating real-world impact.