The asthma mobile health study, smartphone data collected using ResearchKit-Reference-Cited by-同舟云学术

The asthma mobile health study, smartphone data collected using ResearchKit

Published:2018-05-22 Issue:1 Volume:5 Page:
ISSN:2052-4463
Container-title:Scientific Data
language:en
Short-container-title:Sci Data

Author:

Chan Yu-Feng Yvonne,Bot Brian M.^ORCID,Zweig Micol,Tignor Nicole,Ma Weiping,Suver Christine^ORCID,Cedeno Rafhael,Scott Erick R.,Gregory Hershman Steven,Schadt Eric E.,Wang Pei

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Link

http://www.nature.com/articles/sdata201896.pdf

Reference21 articles.

1. Lella, Adam US Smartphone Penetration Surpassed 80% in 2016. Comscore https://www.comscore.com/Insights/Blog/US-Smartphone-Penetration-Surpassed-80-Percent-in-2016 (2017).

2. Chan, Y. F. Y. et al. The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit. Nat Biotechnol. 35.4, 354–362 (2017).

3. Behavioral risk factor surveillance system: 2016 summary data quality report (Centers for Disease Control, 2017).

4. Global strategy for asthma management and prevention. (Global Initiative for Asthma, (2017).

5. Bot, B. M. et al. The mPower study, Parkinson disease mobile data collected using ResearchKit. Sci Data 3, 160011 (2016).

Cited by 44 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. Improving Causal Bayesian Networks Using Expertise in Authoritative Medical Ontologies;ACM Transactions on Computing for Healthcare;2023-10-13

2. Commercial mHealth Apps and the Providers’ Responsibility for Hope;Digital Society;2023-09-27

3. Detection of Parkinson's Disease and Its Severity Using Deep Learning;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

4. Home monitoring with connected mobile devices for asthma attack prediction with machine learning;Scientific Data;2023-06-08

5. Asthma in the digital world;Asthma in the 21st Century;2023