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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets.

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Title: Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets.
Authors: Rani R; Department of ECE, Bhagwan Parshuram Institute of Technology, New Delhi, India., Jaiswal G; School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India., Nancy; Department of Computer Science, Indira Gandhi Delhi Technical University for Women, New Delhi, India., Lipika; Department of Computer Science, Indira Gandhi Delhi Technical University for Women, New Delhi, India., Bhushan S; Department of Computing, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia., Ullah F; Department of Computing, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia., Singh P; School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India., Diwakar M; Department of Computer Science Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India.; Department of CSE, Graphic Era Hill University, Dehradun, Uttarakhand, India.
Source: Frontiers in medicine [Front Med (Lausanne)] 2025 May 27; Vol. 12, pp. 1502749. Date of Electronic Publication: 2025 May 27 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets.
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  Data: <searchLink fieldCode="AU" term="%22Rani+R%22">Rani R</searchLink>; Department of ECE, Bhagwan Parshuram Institute of Technology, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Jaiswal+G%22">Jaiswal G</searchLink>; School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India.<br /><searchLink fieldCode="AU" term="%22Nancy%22">Nancy</searchLink>; Department of Computer Science, Indira Gandhi Delhi Technical University for Women, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Lipika%22">Lipika</searchLink>; Department of Computer Science, Indira Gandhi Delhi Technical University for Women, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Bhushan+S%22">Bhushan S</searchLink>; Department of Computing, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia.<br /><searchLink fieldCode="AU" term="%22Ullah+F%22">Ullah F</searchLink>; Department of Computing, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia.<br /><searchLink fieldCode="AU" term="%22Singh+P%22">Singh P</searchLink>; School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India.<br /><searchLink fieldCode="AU" term="%22Diwakar+M%22">Diwakar M</searchLink>; Department of Computer Science Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India.; Department of CSE, Graphic Era Hill University, Dehradun, Uttarakhand, India.
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  Data: <searchLink fieldCode="JN" term="%22101648047%22">Frontiers in medicine</searchLink> [Front Med (Lausanne)] 2025 May 27; Vol. 12, pp. 1502749. <i>Date of Electronic Publication: </i>2025 May 27 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101648047 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-858X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296858X%22">2296858X </searchLink><i>NLM ISO Abbreviation: </i>Front Med (Lausanne) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fmed.2025.1502749
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      – TitleFull: Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets.
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              Text: 2025 May 27
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