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Table 1 Selection criteria of predictive modelling studies in PICOTS format

From: Cardiovascular complications in a diabetes prediction model using machine learning: a systematic review

 

Participants (P)

Intervention (I)

Comparison (C)

Outcomes (O)

Timeframe (T)

Settings (S)

Other limitations

Inclusion criteria

Patients with T2DM

ML-based predictive modelling including supervised and unsupervised machine learning or combination of both

N/A

Study designs, population, predictors, and models used, quality validation of models

From 1st January 2017 to date

N/A

Language = English

Exclusion criteria

Patients with other types of diabetes or pre-diabetes

Prediction models without specific use of ML

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