Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers

por Hirten, Robert P, Tomalin, Lewis, Danieletto, Matteo, Golden, Eddye, Zweig, Micol, Kaur, Sparshdeep, Helmus, Drew, Biello, Anthony, Pyzik, Renata, Bottinger, Erwin P, Keefer, Laurie, Charney, Dennis, Nadkarni, Girish N, Suarez-Farinas, Mayte, Fayad, Zahi A
Publicado 2022

A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort

por Hirten, Robert P, Suprun, Maria, Danieletto, Matteo, Zweig, Micol, Golden, Eddye, Pyzik, Renata, Kaur, Sparshdeep, Helmus, Drew, Biello, Anthony, Landell, Kyle, Rodrigues, Jovita, Bottinger, Erwin P, Keefer, Laurie, Charney, Dennis, Nadkarni, Girish N, Suarez-Farinas, Mayte, Fayad, Zahi A
Publicado 2023

Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data

por Hirten, Robert P, Danieletto, Matteo, Tomalin, Lewis, Choi, Katie Hyewon, Zweig, Micol, Golden, Eddye, Kaur, Sparshdeep, Helmus, Drew, Biello, Anthony, Pyzik, Renata, Calcagno, Claudia, Freeman, Robert, Sands, Bruce E, Charney, Dennis, Bottinger, Erwin P, Murrough, James W, Keefer, Laurie, Suarez-Farinas, Mayte, Nadkarni, Girish N, Fayad, Zahi A
Publicado 2021

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

por Hirten, Robert P, Danieletto, Matteo, Tomalin, Lewis, Choi, Katie Hyewon, Zweig, Micol, Golden, Eddye, Kaur, Sparshdeep, Helmus, Drew, Biello, Anthony, Pyzik, Renata, Charney, Alexander, Miotto, Riccardo, Glicksberg, Benjamin S, Levin, Matthew, Nabeel, Ismail, Aberg, Judith, Reich, David, Charney, Dennis, Bottinger, Erwin P, Keefer, Laurie, Suarez-Farinas, Mayte, Nadkarni, Girish N, Fayad, Zahi A
Publicado 2021