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. |
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| 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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