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Artificial intelligence based predictive tools for identifying type 2 diabetes patients at high risk of treatment Non-adherence: A systematic review.

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Title: Artificial intelligence based predictive tools for identifying type 2 diabetes patients at high risk of treatment Non-adherence: A systematic review.
Authors: Yismaw MB; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia. Electronic address: malepharm@gmai.com., Tafere C; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia., Tefera BB; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia., Demsie DG; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia., Feyisa K; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia., Addisu ZD; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia., Zeleke TK; Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia., Siraj EA; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia., Worku MC; Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Berihun F; School of Medicine, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia.
Source: International journal of medical informatics [Int J Med Inform] 2025 Jun; Vol. 198, pp. 105858. Date of Electronic Publication: 2025 Mar 01.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Artificial intelligence based predictive tools for identifying type 2 diabetes patients at high risk of treatment Non-adherence: A systematic review.
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  Data: <searchLink fieldCode="AU" term="%22Yismaw+MB%22">Yismaw MB</searchLink>; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia. Electronic address: malepharm@gmai.com.<br /><searchLink fieldCode="AU" term="%22Tafere+C%22">Tafere C</searchLink>; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Tefera+BB%22">Tefera BB</searchLink>; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Demsie+DG%22">Demsie DG</searchLink>; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Feyisa+K%22">Feyisa K</searchLink>; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Addisu+ZD%22">Addisu ZD</searchLink>; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Zeleke+TK%22">Zeleke TK</searchLink>; Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Siraj+EA%22">Siraj EA</searchLink>; Department of Pharmacy, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Worku+MC%22">Worku MC</searchLink>; Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Berihun+F%22">Berihun F</searchLink>; School of Medicine, College of Medicine and Health Sciences, Bahr Dar University, Bahr Dar, Ethiopia.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Ireland+Ltd%22">Elsevier Science Ireland Ltd </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>9711057 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-8243 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213865056%22">13865056 </searchLink><i>NLM ISO Abbreviation: </i>Int J Med Inform <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.ijmedinf.2025.105858
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        Text: English
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              Text: 2025 Jun
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