Databases, Factual

Mobile Telephone Text Messaging for Medication Adherence in Chronic Disease: A Meta-analysis.

Journal Title: 
Publication Date: 
Mar 08, 2016

IMPORTANCE: Adherence to long-term therapies in chronic disease is poor. Traditional interventions to improve adherence are complex and not widely effective. Mobile telephone text messaging may be a scalable means to support medication adherence.

Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape: A Conference Report From the American Heart Association Data Summit 2015.

An analysis of application of health informatics in Traditional Medicine: A review of four Traditional Medicine Systems.

Publication Date: 
Oct 03, 2015

OBJECTIVE: This paper shall first investigate the informatics areas and applications of the four Traditional Medicine systems - Traditional Chinese Medicine (TCM), Ayurveda, Traditional Arabic and Islamic Medicine and Traditional Malay Medicine.

An automatic rules extraction approach to support OSA events detection in an mHealth system.

Publication Date: 
Sep 06, 2014

Detection and real time monitoring of obstructive sleep apnea (OSA) episodes are very important tasks in healthcare. To suitably face them, this paper proposes an easy-to-use, cheap mobile-based approach relying on three steps.

PGMS: a case study of collecting PDA-based geo-tagged malaria-related survey data.

Publication Date: 
Sep 04, 2014

Using mobile devices, such as personal digital assistants (PDAs), smartphones, tablet computers, etc., to electronically collect malaria-related field data is the way for the field questionnaires in the future.

mHealth: a strategic field without a solid scientific soul. a systematic review of pain-related apps.

Author(s): 
Journal Title: 
Publication Date: 
Jul 08, 2014

BACKGROUND: Mobile health (mHealth) has undergone exponential growth in recent years. Patients and healthcare professionals are increasingly using health-related applications, at the same time as concerns about ethical issues, bias, conflicts of interest and privacy are emerging.

MeSH Terms: 

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