Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA

The intelligent diagnosis and prediction methodology for gestational hypertension proposed in this study exhibited remarkable efficacy and holds significant promise for implementation in both educational and clinical settings within obstetrics and gynecology, thereby advancing intelligent medical diagnostics in China.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-02-12
DOI
https://doi.org/10.3389/fmed.2024.1433479
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA

Fen Kang, Xiaolan Li, Xiaojing Li
Frontiers in Medicine
Artificial Intelligence in Healthcare
article

Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA

Fen Kang, Xiaolan Li, Xiaojing Li
article en

Abstract

The intelligent diagnosis and prediction methodology for gestational hypertension proposed in this study exhibited remarkable efficacy and holds significant promise for implementation in both educational and clinical settings within obstetrics and gynecology, thereby advancing intelligent medical diagnostics in China.

Frontiers in MedicineVol. 11
Ministry of Education of the People's Republic of China (CN), Anhui Medical University (CN), Anhui Provincial Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 98%
Artificial Intelligence in Healthcare
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