Evidence map›Paper›PMID 36560088›Full record

ArticleSensors (Basel, Switzerland)2022

Development of an Intelligent System for the Monitoring and Diagnosis of the Well-Being.

Lizeth-Guadalupe Machado-Jaimes, Martin Rogelio Bustamante-Bello, Amadeo-José Argüelles-Cruz, Mariel Alfaro-Ponce

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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. Artificial Intelligence in Obstetric and Gynecological MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
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

4 authors.

Lizeth-Guadalupe Machado-JaimesTecnologico de Monterrey, School of Engineering and Science, Monterrey 64849, Mexico.
Martin Rogelio Bustamante-BelloTecnologico de Monterrey, School of Engineering and Science, Monterrey 64849, Mexico.ORCID 0000-0001-9270-0052
Amadeo-José Argüelles-CruzInstituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City 07738, Mexico.ORCID 0000-0001-8627-4739
Mariel Alfaro-PonceTecnologico de Monterrey, School of Engineering and Science, Monterrey 64849, Mexico.ORCID 0000-0002-4270-0350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, society is more aware of their well-being and health, making wearable devices a new and affordable way to track them continuously. Smartwatches allow access to daily vital physiological measurements, which help people to be aware of their health status. Even though these technologies allow the following of different health conditions, their application in health is still limited to the following physical parameters to allow physicians treatment and diagnosis. This paper presents

Indexed as

AlgorithmsNeural Networks, ComputerBayes TheoremHumansMachine LearningMonitoring, PhysiologicSupport Vector Machinehealth monitoringinternet of thingssmart monitoring systems

Identifiers

PMID36560088
PMCPMC9782551

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.