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Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques.

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第一作者： Ananda,Sutradhar

第一单位： Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.

作者： Ananda,Sutradhar ^[1] ; Sharmin,Akter ^[1] ; F M Javed Mehedi,Shamrat ^[2] ; Pronab,Ghosh ^[3] ; Xujuan,Zhou ^[4] ; Mohd Yamani Idna Bin,Idris ^[2] ; Kawsar,Ahmed ^[5] ; Mohammad Ali,Moni ^[6]

作者单位： Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh. ^[1] Department of Computer System and Technology, Universiti Malaya, Kuala Lumpur, 50603, Malaysia. ^[2] Department of Computer Science, Lakehead University, 955 Oliver Rd, Thunder Bay, ON, P7B 5E1, Canada. ^[3] School of Business, University of Southern Queensland, Springfield, Australia. ^[4] Department of Electrical and Computer Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK, S7N 5A9, Canada.;Health Informatics Research Lab, Department of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, Dhaka, 1216, Bangladesh.;Group of Bio-photomatiχ, Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh. ^[5] School of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, 4072, Australia. ^[6]

关键词 And explainable AI Ensemble methods Machine learning SMOTE-ENN Thyroid disease

DOI 10.1016/j.heliyon.2024.e36556

PMID 39687050

发布时间 2025-01-04

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