IoMT-Based Model to Predict Chronic Asthma Disease in Elderly People Using Machine Learning Techniques

Asthma is the most frequent chronic non-communicable condition; it can be a lifelong common problem for older people; numerous scientists have examined that older individuals endure widely because of persistent ailments distinguished by global investigation throughout recent years; on the other hand, the Internet of Medical things depends on interconnected IoT contraptions convey immense amounts of information that should be overseen gainfully in the field of clinical. This research develops IoMT based model for remote monitoring patients due to chronic disease emergencies due to challenging and essential for older adults. This proposed work predicts asthma disease with machine learning prediction models like (SVM, Random Forest, ANN, etc.) combined with other related intelligence techniques for chronic illness, especially for elders at an early stage.