Prediction of pregnancy outcomes in women with systemic lupus erythematosus before pregnancy: Application of machine learning models

By using the CHAID decision tree to predict the outcome of pregnancy in women with SLE and extracted rules, it is possible to use appropriate methods that prevent spontaneous abortion and also provide timely consultation to women with SLE for making decisions to become pregnant.

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Publication Details

Journal
Heliyon
Published
2025-02-01
DOI
https://doi.org/10.1016/j.heliyon.2025.e42679
Citations
1
Primary Topic
Systemic Lupus Erythematosus Research
Type
article
Field-Weighted Citation Impact
1.67

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article

Prediction of pregnancy outcomes in women with systemic lupus erythematosus before pregnancy: Application of machine learning models

Abbas Sheikhtaheri, Khadijeh Paydar
1 citations
Heliyon
Systemic Lupus Erythematosus Research
1.67
article

Prediction of pregnancy outcomes in women with systemic lupus erythematosus before pregnancy: Application of machine learning models

Abbas Sheikhtaheri, Khadijeh Paydar
article en
1 citations

Abstract

By using the CHAID decision tree to predict the outcome of pregnancy in women with SLE and extracted rules, it is possible to use appropriate methods that prevent spontaneous abortion and also provide timely consultation to women with SLE for making decisions to become pregnant.

HeliyonVol. 11(4)
Iran University of Medical Sciences (IR), University of Tabriz (IR), Artificial Intelligence in Medicine (Canada) (CA)
Iran University of Medical Sciences
Openalex Percentile: Top 20%
Systemic Lupus Erythematosus Research
1.67
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Prediction of pregnancy outcomes in women with systemic lupus erythematosus before pregnancy: Application of machine learning models — Abbas Sheikhtaheri, Khadijeh Paydar · Heliyon (2025) | TGRS Research Map | TGRS