crossrefInformation2023-11-21Cited by 3
Predicting Abnormal Respiratory Patterns in Older Adults Using Supervised Machine Learning on Internet of Medical Things Respiratory Frequency Data
Pedro C. Santana-Mancilla, Oscar E. Castrejón-Mejía, Silvia B. Fajardo-Flores, Luis E. Anido-Rifón
Wearable Internet of Medical Things (IoMT) technology, designed for non-invasive respiratory monitoring, has demonstrated considerable promise in the early detection of severe diseases. This paper introduces the application of supervised machine learning techniques to predict res…