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A Hybrid Ensemble Machine Learning Framework with Membership-Function Feature Engineering for Non-Invasive Prediction of HER2 Status in Breast Cancer.

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Title: A Hybrid Ensemble Machine Learning Framework with Membership-Function Feature Engineering for Non-Invasive Prediction of HER2 Status in Breast Cancer.
Authors: Salarabadi, Hassan1 (AUTHOR), Salimi, Dariush1,2 (AUTHOR), Mohammadi Ziabari, Seyed Sahand2,3 (AUTHOR) sahand.ziabari@sunyempire.edu, Aznab, Mozaffar4 (AUTHOR)
Source: Information. Mar2026, Vol. 17 Issue 3, p296. 16p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Information%22">Information</searchLink>. Mar2026, Vol. 17 Issue 3, p296. 16p.
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        Value: 10.3390/info17030296
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        Text: English
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      – TitleFull: A Hybrid Ensemble Machine Learning Framework with Membership-Function Feature Engineering for Non-Invasive Prediction of HER2 Status in Breast Cancer.
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              Text: Mar2026
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              Y: 2026
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