A Medical Cyber-Physical System utilizing the Bayes algorithm for post-diagnosis patient supervision

Abstract

Medical treatment is one of the most prominent
among several basic human needs. However, since there needs
to be more doctors, nurses, and other medical facilities in
many places, medical cyber-physical systems (MCPS) are quickly
becoming a competitive alternative. MCPS represents a platform
through which patient health data are acquired by emergent
sensors, preprocessed locally, and managed through machine
intelligence algorithms. One important use of these systems is
for observation after a diagnosis. Instead of active observation
by a caregiver, this can be easily done using various monitoring
systems. However, most of the existing systems for this application
are inflexible and need to consider the current challenges. On
the other hand, these problems can be solved by intelligent and
adaptive systems, which is now possible thanks to the growth
of relevant technology, especially Healthcare 4.0. Therefore, this
article proposes an adaptive system based on the Bayes algorithm
for performing medical interventions on patients, reducing the
dependence on caregivers, particularly in the post-diagnosis
scenario. This system collects sensor information and keeps track
of the patient’s health. Based on the sensor data, the system can
decide what activities are necessary for the patient.