Evidence map›Paper›PMID 35321203›Full record

ArticleComputational and mathematical methods in medicine2022

Modeling the Ranked Antenatal Care Visits Using Optimized Partial Least Square Regression.

Maryam Sadiq, Alanazi Talal Abdulrahman, Randa Alharbi, Dalia Kamal Fathi Alnagar, Syed Masroor Anwar

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In one paragraph

Article in Computational and mathematical methods in medicine, 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  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

5 authors.

Maryam SadiqDepartment of Statistics, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan.ORCID https://orcid.org/0000-0002-6994-8970
Alanazi Talal AbdulrahmanDepartment of Mathematics, College of Science, University of Hail, Saudi Arabia.ORCID https://orcid.org/0000-0002-4576-2354
Randa AlharbiDepartment of Statistics, University of Tabuk, Saudi Arabia.ORCID https://orcid.org/0000-0002-6698-4933
Dalia Kamal Fathi AlnagarDepartment of Statistics, University of Tabuk, Saudi Arabia.ORCID https://orcid.org/0000-0003-0196-2490
Syed Masroor AnwarDepartment of Statistics, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan.ORCID https://orcid.org/0000-0001-7184-9579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frequency and timing of antenatal care visits are observed to be the significant factors of infant and maternal morbidity and mortality. The present research is conducted to determine the risk factors of reduced antenatal care visits using an optimized partial least square regression model. A data set collected during 2017-2018 by Pakistan Demographic and Health Surveys is used for modeling purposes. The partial least square regression model coupled with rank correlation measures are introduced for improved performance to address ranked response. The proposed models included PLS

Indexed as

Cesarean SectionPrenatal CareChildDiscriminant AnalysisFemaleHumansLeast-Squares AnalysisMonte Carlo MethodPregnancy

Identifiers

PMID35321203
PMCPMC8938055

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Registered trials

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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.