A survey of Machine Learning Models for Prediabetes Screening
Amos Olwendo
Sozialwissenschaften, Recht, Wirtschaft / Medienwissenschaft
Beschreibung
Scientific Study from the year 2025 in the subject Communications - Multimedia, Internet, New Technologies, grade: 18.0, Kenyatta University, language: English, abstract: Diabetes is gradually becoming a global challenge owing to the gradual increase in the number of cases of Type 2 diabetes mellitus (T2DM). T2DM is characterized as a state of hyperglycaemia due to abnormal control of insulin levels that eventually affects metabolism. This study aimed to review articles that implement machine learning methods to identify suitable risk factors for prediabetes. The study adopted the preferred reporting items for systematic review (PRISMA) protocol and research questions were formulated by the identification of synonyms and related terms "predictors and prediabetes and machine learning" from PubMed and Google scholar. Both observational and interventional original articles that were published between 2018 and 2023 were included in this study. Eligibility for inclusion was determined by scanning the article title, abstract, and study methodology section.
Kundenbewertungen
Decision Support Systems, Prediabetes, Risk Prediction, Machine Learning