Long-term conditions in Scotland, which include diseases like asthma and COPD, contribute significantly to healthcare utilization and mortality rates.

Asthma, characterized by variable symptoms and airflow limitation, lacks a precise understanding of its triggers.

This paper proposes using open-source datasets and machine learning to estimate asthma hospitalization rates with a high level of accuracy, aiding in predictive modelling with an 86.67% success rate.