Machine learning COVID-19 detection from wearables-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine learning COVID-19 detection from wearables

Published:2023-04 Issue:4 Volume:5 Page:e182-e184
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Nestor Bret,Hunter Jaryd,Kainkaryam Raghu,Drysdale Erik,Inglis Jeffrey B,Shapiro Allison,Nagaraj Sujay,Ghassemi Marzyeh,Foschini Luca,Goldenberg Anna

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference14 articles.

1. Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study;Radin;Lancet Digit Health,2020

2. Use of physiological data from a wearable device to identify SARS-CoV-2 infection and symptoms and predict COVID-19 diagnosis: observational study;Hirten;J Med Internet Res,2021

3. Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict study;Mason;Sci Rep,2022

4. Pre-symptomatic detection of COVID-19 from smartwatch data;Mishra;Nat Biomed Eng,2020

5. Wearable sensor data and self-reported symptoms for COVID-19 detection;Quer;Nat Med,2021

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of Common Respiratory Infections, Including COVID-19, Using Consumer Wearable Devices in Health Care Workers: Prospective Model Validation Study;JMIR Formative Research;2024-07-17

2. Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association;Circulation: Genomic and Precision Medicine;2024-06

3. Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients;Health and Technology;2024-05-24

4. Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact;PLOS Digital Health;2024-04-15

5. Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach;Sensors;2024-03-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3