Artificial intelligence and machine learning for improving glycemic control in diabetes : best practices, pitfalls, and opportunities

Jacobs, Peter (author), Battelino, Tadej (author)

• Language: English
• Keywords: diabetes, artificial intelligence, glucose prediction
• Work type: Article
• Typology: 1.02 - Review Article
• Organization: MF - Faculty of Medicine
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: Str. 19-41
• Numbering: Vol. 17
• PID: 20.500.12556/RUL-182615
• UDC: 616.379:004.8
• ISSN on article: 1937-3333
• DOI: 10.1109/RBME.2023.3331297
• COBISS.SI-ID: 183432451
• Publication date in RUL: 19.05.2026

Record is a part of a journal

• Title: IEEE reviews in biomedical engineering
• Shortened title: IEEE rev. biomed. eng.
• Publisher: IEEE
• ISSN: 1937-3333
• COBISS.SI-ID: 6922324

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: diabetes, umetna inteligenca, glikemija