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Privacy-Preserving, Multi-Objective Whale-Bat Optimized XGBoost for Early Diagnosis of Insulin Resistance in Non-Diabetic Women: Development and Validation Using NHANES 2007–2020.

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Title: Privacy-Preserving, Multi-Objective Whale-Bat Optimized XGBoost for Early Diagnosis of Insulin Resistance in Non-Diabetic Women: Development and Validation Using NHANES 2007–2020.
Authors: Nassar, Mohammad Othman1, moanassar@aau.edu.jo
Source: Journal of Intelligent & Fuzzy Systems; Jul2026, Vol. 50 Issue 7, p2017-2047, 31p
Database: Applied Science & Technology Source
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  Data: Privacy-Preserving, Multi-Objective Whale-Bat Optimized XGBoost for Early Diagnosis of Insulin Resistance in Non-Diabetic Women: Development and Validation Using NHANES 2007–2020.
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        Value: 10.1177/18758967251395614
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        PageCount: 31
        StartPage: 2017
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      – TitleFull: Privacy-Preserving, Multi-Objective Whale-Bat Optimized XGBoost for Early Diagnosis of Insulin Resistance in Non-Diabetic Women: Development and Validation Using NHANES 2007–2020.
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              Text: Jul2026
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