Table 1.
Participants (P) | Intervention (I) | Comparison (C) | Outcomes (O) | Timeframe (T) | Setting (S) | Other limits | |
---|---|---|---|---|---|---|---|
Inclusion criteria | Individuals with T2DM Individuals without T2DM being investigated for the condition | ML predictive modeling: supervised, unsupervised, semi-supervised ML, or combinations thereof | Not applicable | Primary: metrics of discrimination ability, calibration, and
classification accuracy in T2DM prediction Secondary: candidate predictors, applied algorithms, level of validation, intended use of models |
Since 1 January 2009 to date | Clinical care settings, for example, hospitals, long-term-,
ambulatory-, acute-care facilities Community care settings, e.g. general practices, community health centers, allied health practices |
Language = English |
Exclusion criteria | Patients with other clinical phenotypes of diabetes, type 1
diabetes, gestational diabetes Pre-diabetic individuals Diabetic complications |
Predictive modeling without an explicit ML approach | Laboratory settings: using only genetic, genomic, or genotype data |
ML: machine learning; T2DM: type 2 diabetes.