TY  - JOUR 
AU  - Santana Mancilla, Pedro C.
AU  - Castrejón Mejía, Oscar E.
AU  - Fajardo Flores, Silvia B.
AU  - Anido Rifón, Luis Eulogio
PY  - 2023
SN  - 20782489
UR  - http://hdl.handle.net/11093/6448
AB  - 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...
LA  - eng
PB  - Information
TI  - Predicting abnormal respiratory patterns in older adults using supervised machine learning on Internet of medical things respiratory frequency data
DO  - 10.3390/info14120625
ER  -