Evidence map›Paper›PMID 31581453›Full record

ArticleDiagnostics (Basel, Switzerland)2019

A Pervasive Healthcare System for COPD Patients.

Hicham Ajami, Hamid Mcheick, Karam Mustapha

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Virtual mask fitting in pediatric patients during COVID-19: A case series.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hicham Ajami
Hamid McheickDepartment of Computer Sciences and Mathematics, University of Québec at Chicoutimi, QC G7H 2B1, Canada. hamid_mcheick@uqac.ca.
Karam MustaphaDepartment of Mathematical and Industrial Engineering, Polytechnic of Montreal, Station centre-ville, Montreal, H3C 3A7, Canada. Karam.mustapha@gmail.com.

Funding

Natural Sciences and Engineering Research Council of Canada RPGIN-2017-05521
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is one of the most severe public health problems worldwide. Pervasive computing technology creates a new opportunity to redesign the traditional pattern of medical system. While many pervasive healthcare systems are currently found in the literature, there is little published research on the effectiveness of these paradigms in the medical context. This paper designs and validates a rule-based ontology framework for COPD patients. Unlike conventional systems, this work presents a new vision of telemedicine and remote care solutions that will promote individual self-management and autonomy for COPD patients through an advanced decision-making technique. Rules accuracy estimates were 89% for monitoring vital signs, and environmental factors, and 87% for nutrition facts, and physical activities.

Indexed as

context-aware systemCOPDhealthcare systemsontologysemantic web rule language (SWRL)

Identifiers

PMID31581453
PMCPMC6963281

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.