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March 3, 2026
Open Access
Innovative Hybrid Machine Learning Methods for Breast Cancer Predictive Optimization
MK
Muhammad Zohaib Khan
MS
Muqaddas Salahuddin
AK
Abdullah Ayub Khan
Sultan Zainal Abidin University
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Puntos clave
The predictive optimization shows a significant improvement in breast cancer detection accuracy.
Utilizing multiple machine learning algorithms improved performance metrics by 20% over traditional methods.
Analysis employs hybrid machine learning techniques on deidentified patient data to enhance predictive outcomes.
These findings suggest that integrating advanced algorithms may lead to better early diagnosis in breast cancer cases.
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Innovative Hybrid Machine Learning Methods for Breast Cancer Predictive Optimization | Synapse
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Khan et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75a06c6e9836116a1f800
https://doi.org/https://doi.org/10.1007/s44196-025-01135-5