Evidence map›Paper›PMID 29317994›Full record

ArticleJournal of healthcare engineering2017

Comparative Analysis of Hybrid Models for Prediction of BP Reactivity to Crossed Legs.

Gurmanik Kaur, Ajat Shatru Arora, Vijender Kumar Jain

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of healthcare engineering, 2017. 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
0.4field-weighted citation impact, top 33% of its field
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, 4 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Gurmanik KaurDepartment of Electrical Engineering, SBBSU, Khiala, District Jalandhar, Punjab 144030, India.ORCID 0000-0002-6384-4396
Ajat Shatru AroraDepartment of Electrical and Instrumentation Engineering, SLIET, Deemed University (Established by Govt. of India), Longowal, District Sangrur, Punjab 148106, India.
Vijender Kumar JainDepartment of Electrical and Instrumentation Engineering, SLIET, Deemed University (Established by Govt. of India), Longowal, District Sangrur, Punjab 148106, India.
Sant Longowal Institute of Engineering and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crossing the legs at the knees, during BP measurement, is one of the several physiological stimuli that considerably influence the accuracy of BP measurements. Therefore, it is paramount to develop an appropriate prediction model for interpreting influence of crossed legs on BP. This research work described the use of principal component analysis- (PCA-) fused forward stepwise regression (FSWR), artificial neural network (ANN), adaptive neuro fuzzy inference system (ANFIS), and least squares support vector machine (LS-SVM) models for prediction of BP reactivity to crossed legs among the normotensive and hypertensive participants. The evaluation of the performance of the proposed prediction models using appropriate statistical indices showed that the PCA-based LS-SVM (PCA-LS-SVM) model has the highest prediction accuracy with coefficient of determination (

Indexed as

Blood PressureModels, StatisticalAdolescentAdultBlood Pressure DeterminationCase-Control StudiesFemaleHumansHypertensionLegMaleNeural Networks, ComputerYoung Adult

Identifiers

PMID29317994
PMCPMC5727829
OpenAlexW2768228411

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.