Machine learning approaches for asthma disease prediction among adults in Sri Lanka

Addressing the challenge of cost-effective asthma diagnosis amidst diverse symptom patterns among patients, this study aims to develop a machine learning-based asthma prediction tool for self-detection of asthma.