Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia.
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| Title: | Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia. |
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| Authors: | Kassaw EA; Department of Biomedical Engineering, Institute of Technology, University of Gondar, Gondar, Ethiopia.; Center for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India., Sendekie AK; Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.; Curtin Medical School, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia., Enyew BM; Department of Information Technology, College of Informatics, University of Gondar, Gondar, Ethiopia., Abate BB; College of Health Science, Woldia University, Woldia, Ethiopia.; School of Population Health, Curtin University, Bentley, WA, Australia. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2025 Mar 20; Vol. 16, pp. 1486350. Date of Electronic Publication: 2025 Mar 20 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2025.1486350 |
