Fig. 1From: Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics StudyStudy design and participant selection flowchart; 4754 eligible participants with available genotype information, > 19 years old, without prevalent MetS at the 1st phase and complete follow-up data from Tehran Cardio-metabolic genetic study (TCGS) were includedBack to article page