Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.2196/26107
Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study
Cited by: 78
Author(s): Robert Hirten, Matteo Danieletto, Lewis Tomalin, Katie Hyewon Choi, Micol Zweig, Eddye Golden, Sparshdeep Kaur, Drew Helmus, Anthony Biello, Renata Pyzik, Alexander Charney, Riccardo Miotto, Benjamin S. Glicksberg, Matthew A. Levin, Ismail Nabeel, Judith A. Aberg, David L. Reich, Dennis S. Charney, Erwin P. Böttinger, Laurie Keefer, Mayte Suárez‐Fariñas, Girish N. Nadkarni, Zahi A. Fayad
Published: over 3 years ago