Q-Learning based Intelligent and Interactive Healthcare System
11th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2022
; : 253-256, 2022.
Article
in English
| Scopus | ID: covidwho-1922606
ABSTRACT
With the advent of the COVID-19 pandemic, the health care system has suffered a tremendous setback, especially in developing countries. Q Learning is a leading and widely used Reinforcement Learning scheme. Q-Learning can be applied to a variety of real-time applications. This paper proposes a health care system based on the Q learning algorithm and its implementation for a set of targeted nodes. The proposed system consists of 4 phases, front-end system, RRH, BBU pool, and computing. Each phase consists of different network components that are considered nodes. We have different rewards for nodes and pathways. The AI agent will continue to change its approach for future actions. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
11th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS