Prevalence and predictors of asthma among Indian women: a machine learning-based analysis of NFHS-5 data

Authors

Ankita Mathur
R. Abdul Rahman (ORCID: https://orcid.org/0000-0003-0213-5999)
Illias Sheikh (ORCID: https://orcid.org/0000-0002-9598-9119)
Vini Mehta (ORCID: https://orcid.org/0000-0003-4174-907X)
Anil Pardeshi

Institutions

Management Development Institute (IN)
Dr. D. Y. Patil Medical College, Hospital and Research Centre (IN)
Dr. D.Y. Patil Vidyapeeth, Pune (IN)
Al-Nasser University (YE)

Publication Details

Journal: BMC Public Health
Published: 2025-11-07
DOI: https://doi.org/10.1186/s12889-025-25191-w
Citations: 1
Primary Topic: Asthma and respiratory diseases
Type: article
Field-Weighted Citation Impact: 1.16

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article

Prevalence and predictors of asthma among Indian women: a machine learning-based analysis of NFHS-5 data

Ankita Mathur, R. Abdul Rahman, Illias Sheikh, Vini Mehta et al.

Nov 7, 2025

1 citations

BMC Public Health

Asthma and respiratory diseases

1.16

article

Prevalence and predictors of asthma among Indian women: a machine learning-based analysis of NFHS-5 data

Ankita Mathur, R. Abdul Rahman, Illias Sheikh, Vini Mehta, Anil Pardeshi

November 7, 2025article en

1 citations

Abstract

No abstract available for this paper.

BMC Public HealthVol. 25(1)

Management Development Institute (IN), Dr. D. Y. Patil Medical College, Hospital and Research Centre (IN), Dr. D.Y. Patil Vidyapeeth, Pune (IN), Al-Nasser University (YE)

Openalex Percentile: Top 16%

Asthma and respiratory diseases

1.16

DOI Open Access PDF OpenAlex

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