Machine learning approach to single nucleotide polymorphism-based asthma prediction.
Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the hidden biological interactions for better prediction and diagnosis of complex diseases.In this work, we integrated ML-based models Stationery for feature selection and classification to quantify the risk of individual susceptibility to asthma using si