Diagnosis, Computer-Assisted

A novel electronic algorithm using host biomarker point-of-care tests for the management of febrile illnesses in Tanzanian children (e-POCT): A randomized, controlled non-inferiority trial.

Journal Title: 
Publication Date: 
Oct 23, 2017

BACKGROUND: The management of childhood infections remains inadequate in resource-limited countries, resulting in high mortality and irrational use of antimicrobials.

Evaluation of Screening for Retinopathy of Prematurity by ROPtool or a Lay Reader.

Journal Title: 
Publication Date: 
Jan 24, 2016

PURPOSE: To determine if (1) tortuosity assessment by a computer program (ROPtool, developed at the University of North Carolina, Chapel Hill, and Duke University, and licensed by FocusROP) that traces retinal blood vessels and (2) assessment by a lay reader are comparable with assessment by a pa

A framework design for the mHealth system for self-management promotion.

Publication Date: 
Sep 26, 2015

Mobile health (mHealth) technology has been proposed to alleviate the lack of sufficient medical resources for personal healthcare. However, usage difficulties and compliance issues relating to this technology restrict the effect of mHealth system-supported self-management.

ePoint.telemed--An Open Web-based Platform for Home Monitoring of Patients with Chronic Heart Failure.

Author(s): 
Publication Date: 
Aug 12, 2015

In North Norway, no telemonitoring services for chronic heart failure (CHF) have yet been established, hence no investigations in the area have been published. However, large distances and a sparse population are causes for extra expenditure on hospital visits.

Surface 12 lead electrocardiogram recordings using smart phone technology.

Journal Title: 
Publication Date: 
Dec 31, 2014

IMPORTANCE: AliveCor ECG is an FDA approved ambulatory cardiac rhythm monitor that records a single channel (lead I) ECG rhythm strip using an iPhone. In the past few years, the use of smartphones and tablets with health related applications has significantly proliferated.

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.

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