This study aims to enhance personalized and preventive care for non-communicable diseases (NCDs) in Kazakhstan by examining epigenetic factors, predicting biological age and reproductive function using machine learning, and developing health improvement recommendations.
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Accuracy of Machine Learning Model for Predicting Biological Age
Timeframe: Within 10 months from start of data collection
Accuracy of Reproductive Function Prediction Model
Timeframe: Within 10 months from start of data collection