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

Among several basic human needs, medical treatment is one of the most prominent. However, since there need to be more doctors, nurses, and other medical facilities in many places, medical cyber-physical systems are quickly becoming a competitive alternative. 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, leading to a reduction in the dependence on caregivers, particularly in the post-diagnosis scenario.

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Publication Details

Journal
AIUB Journal of Science and Engineering (AJSE)
Published
2024-08-30
DOI
https://doi.org/10.53799/ajse.v23i2.635
Citations
2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
1.42
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article

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

Junaida Sulaiman, Md Saef Ullah Miah, Abhijit Bhowmik, Talha Bin Sarwar et al.
2 citations
AIUB Journal of Science and Engineering (AJSE)
Artificial Intelligence in Healthcare
1.42
article

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

Junaida Sulaiman, Md Saef Ullah Miah, Abhijit Bhowmik, Talha Bin Sarwar, Zahiduddin Ahmed, Mizanur Rahman, Fahmeda Nusrat
article en
2 citations

Abstract

Among several basic human needs, medical treatment is one of the most prominent. However, since there need to be more doctors, nurses, and other medical facilities in many places, medical cyber-physical systems are quickly becoming a competitive alternative. 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, leading to a reduction in the dependence on caregivers, particularly in the post-diagnosis scenario.

AIUB Journal of Science and Engineering (AJSE)Vol. 23(2)
Universiti Malaysia Pahang Al-Sultan Abdullah (MY), American International University-Bangladesh (BD)
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare
1.42
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