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A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques.

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Title: A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques.
Authors: Emara HM; Department of Electronics and Electrical Communications Engineering, Ministry of Higher Education Pyramids Higher Institute (PHI) for Engineering and Technology, 6th of October City, Egypt., El-Shafai W; Automated Systems and Soft Computing Lab (ASSCL), Computer Science Department, Prince Sultan University, Riyadh, Saudi Arabia., Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Algarni AD; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Alkanhel R; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Abd El-Samie FE; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Source: Frontiers in physiology [Front Physiol] 2025 May 06; Vol. 16, pp. 1435036. Date of Electronic Publication: 2025 May 06 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques.
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  Data: <searchLink fieldCode="AU" term="%22Emara+HM%22">Emara HM</searchLink>; Department of Electronics and Electrical Communications Engineering, Ministry of Higher Education Pyramids Higher Institute (PHI) for Engineering and Technology, 6th of October City, Egypt.<br /><searchLink fieldCode="AU" term="%22El-Shafai+W%22">El-Shafai W</searchLink>; Automated Systems and Soft Computing Lab (ASSCL), Computer Science Department, Prince Sultan University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Soliman+NF%22">Soliman NF</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Algarni+AD%22">Algarni AD</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alkanhel+R%22">Alkanhel R</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Abd+El-Samie+FE%22">Abd El-Samie FE</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
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  Data: <searchLink fieldCode="JN" term="%22101549006%22">Frontiers in physiology</searchLink> [Front Physiol] 2025 May 06; Vol. 16, pp. 1435036. <i>Date of Electronic Publication: </i>2025 May 06 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101549006 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-042X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221664042X%22">1664042X </searchLink><i>NLM ISO Abbreviation: </i>Front Physiol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fphys.2025.1435036
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