A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System

Implementation of AI technology plays a great role in developing effective healthcare applications. It can help to specify various effective software applications in order to develop the process of healthcare prediction. Machine-learning and cloud-computing play significant role in developing intell...

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Published in:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
Main Author: Rao M.S.; Umamaheswaran S.K.; Sattaru N.C.; Abdullah K.H.; Pandey U.K.; Biban L.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135444614&doi=10.1109%2fICACITE53722.2022.9823678&partnerID=40&md5=d87a13d0f08c34eb5d7a1b56087b4528
id 2-s2.0-85135444614
spelling 2-s2.0-85135444614
Rao M.S.; Umamaheswaran S.K.; Sattaru N.C.; Abdullah K.H.; Pandey U.K.; Biban L.
A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System
2022
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022


10.1109/ICACITE53722.2022.9823678
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135444614&doi=10.1109%2fICACITE53722.2022.9823678&partnerID=40&md5=d87a13d0f08c34eb5d7a1b56087b4528
Implementation of AI technology plays a great role in developing effective healthcare applications. It can help to specify various effective software applications in order to develop the process of healthcare prediction. Machine-learning and cloud-computing play significant role in developing intelligent healthcare applications. It can help to collect and analyse various health care data in order to provide quick responses. AI also plays a great role in disease detection and prediction processes. This effective intelligent process can help to provide accurate detection of disease. Wireless networking sensors can help to detect the behaviour of every individual. Body sensors can help to detect body movements and facial expressions by the usage of neural networks. It also consists of various technological implementations to develop the process of data mining, computing. This research primarily focuses on the effectiveness of implementing various effective technologies in order to build healthcare prediction system. AI provides various sensor techniques in application to make it more efficient for healthcare purposes. Another question from the research has a great impact on the health care system. Machine learning can help to provide modelling methods to determine the errors of biomedicines. Wireless sensors provide the facility of behaviour detection through collecting current environmental data. © 2022 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Rao M.S.; Umamaheswaran S.K.; Sattaru N.C.; Abdullah K.H.; Pandey U.K.; Biban L.
spellingShingle Rao M.S.; Umamaheswaran S.K.; Sattaru N.C.; Abdullah K.H.; Pandey U.K.; Biban L.
A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System
author_facet Rao M.S.; Umamaheswaran S.K.; Sattaru N.C.; Abdullah K.H.; Pandey U.K.; Biban L.
author_sort Rao M.S.; Umamaheswaran S.K.; Sattaru N.C.; Abdullah K.H.; Pandey U.K.; Biban L.
title A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System
title_short A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System
title_full A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System
title_fullStr A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System
title_full_unstemmed A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System
title_sort A Critical Understanding of Integrated Artificial Intelligence Techniques for the Healthcare Prediction System
publishDate 2022
container_title 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
container_volume
container_issue
doi_str_mv 10.1109/ICACITE53722.2022.9823678
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135444614&doi=10.1109%2fICACITE53722.2022.9823678&partnerID=40&md5=d87a13d0f08c34eb5d7a1b56087b4528
description Implementation of AI technology plays a great role in developing effective healthcare applications. It can help to specify various effective software applications in order to develop the process of healthcare prediction. Machine-learning and cloud-computing play significant role in developing intelligent healthcare applications. It can help to collect and analyse various health care data in order to provide quick responses. AI also plays a great role in disease detection and prediction processes. This effective intelligent process can help to provide accurate detection of disease. Wireless networking sensors can help to detect the behaviour of every individual. Body sensors can help to detect body movements and facial expressions by the usage of neural networks. It also consists of various technological implementations to develop the process of data mining, computing. This research primarily focuses on the effectiveness of implementing various effective technologies in order to build healthcare prediction system. AI provides various sensor techniques in application to make it more efficient for healthcare purposes. Another question from the research has a great impact on the health care system. Machine learning can help to provide modelling methods to determine the errors of biomedicines. Wireless sensors provide the facility of behaviour detection through collecting current environmental data. © 2022 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
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language English
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