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 e. cuarenta cerveza work, we integrated ML-based models for feature selection and classification to quantify the risk of individual susceptibility to asthma