Machine learning for healthcare diagnostics

Presently machine learning and artificial intelligence is playing one of the most important role in diagnose many genetic and non genetic disease. So that the rapid inventions in machine learning can save thousands of life�s as it can diagnose the early stage of many serious diseases. In this resear...

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Main Authors: Sutabri T., Pandi Selvam R., Shankar K., Nguyen P.T., Hashim W., Maseleno A.
Other Authors: 57200216597
Format: Article
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2023
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spelling my.uniten.dspace-245252023-05-29T15:24:12Z Machine learning for healthcare diagnostics Sutabri T. Pandi Selvam R. Shankar K. Nguyen P.T. Hashim W. Maseleno A. 57200216597 57196346443 56884031900 57216386109 11440260100 55354910900 Presently machine learning and artificial intelligence is playing one of the most important role in diagnose many genetic and non genetic disease. So that the rapid inventions in machine learning can save thousands of life�s as it can diagnose the early stage of many serious diseases. In this research the datasets for such diseases is studied and it will be analyzed that how such deep machine learning will impact to a human life. The problem with such methodology is that it is not possible to get accurate results in the initial stage of research. The reason is every human have different immunity power and stamina. There are many diagnostics center who are fully dependent on the equipments which are fully based on machine learning. In order to boost this process it is necessary to collect the real time patient�s data from different hospitals, states and countries. So that it will be beneficial for world wide. � BEIESP. Final 2023-05-29T07:24:12Z 2023-05-29T07:24:12Z 2019 Article 10.35940/ijeat.F1304.0886S219 2-s2.0-85073718245 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073718245&doi=10.35940%2fijeat.F1304.0886S219&partnerID=40&md5=50341930020ce12ba69cdbe10246517f https://irepository.uniten.edu.my/handle/123456789/24525 8 6 Special Issue 2 999 1001 All Open Access, Bronze Blue Eyes Intelligence Engineering and Sciences Publication Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Presently machine learning and artificial intelligence is playing one of the most important role in diagnose many genetic and non genetic disease. So that the rapid inventions in machine learning can save thousands of life�s as it can diagnose the early stage of many serious diseases. In this research the datasets for such diseases is studied and it will be analyzed that how such deep machine learning will impact to a human life. The problem with such methodology is that it is not possible to get accurate results in the initial stage of research. The reason is every human have different immunity power and stamina. There are many diagnostics center who are fully dependent on the equipments which are fully based on machine learning. In order to boost this process it is necessary to collect the real time patient�s data from different hospitals, states and countries. So that it will be beneficial for world wide. � BEIESP.
author2 57200216597
author_facet 57200216597
Sutabri T.
Pandi Selvam R.
Shankar K.
Nguyen P.T.
Hashim W.
Maseleno A.
format Article
author Sutabri T.
Pandi Selvam R.
Shankar K.
Nguyen P.T.
Hashim W.
Maseleno A.
spellingShingle Sutabri T.
Pandi Selvam R.
Shankar K.
Nguyen P.T.
Hashim W.
Maseleno A.
Machine learning for healthcare diagnostics
author_sort Sutabri T.
title Machine learning for healthcare diagnostics
title_short Machine learning for healthcare diagnostics
title_full Machine learning for healthcare diagnostics
title_fullStr Machine learning for healthcare diagnostics
title_full_unstemmed Machine learning for healthcare diagnostics
title_sort machine learning for healthcare diagnostics
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2023
_version_ 1806423323641380864
score 13.222552