Identifying diseases and diagnosis using machine learning
The method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. By using the statistics theory it creates the mathematical model, and its major work is to surmise from the examples gave. To take the data straightforwardly from the info...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
Blue Eyes Intelligence Engineering and Sciences Publication
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-24524 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-245242023-05-29T15:24:12Z Identifying diseases and diagnosis using machine learning Iswanto I. Laxmi Lydia E. Shankar K. Nguyen P.T. Hashim W. Maseleno A. 56596730700 57196059278 56884031900 57216386109 11440260100 55354910900 The method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. By using the statistics theory it creates the mathematical model, and its major work is to surmise from the examples gave. To take the data straightforwardly from the information the approach uses computational methods. For recognize and identify the disease correctly a pattern is very necessary in Diagnosis recognition of disease. for creating the different models machine learning is used, this model can use for prediction of output and this output is depend on the input that is related to the data which previously used. For curing any disease it is very important to identify and detect that disease. For classify the disease classification algorithms are used. It uses are many dimensionality reduction algorithms and classification algorithms. Without externally modified the computer can learn with the help of the machine learning. For taking the best fit from the observation set the hypothesis is selected. Multi-dimensional and high dimensional are used in machine learning. By using machine learning automatic and classy algorithms can build. � BEIESP. Final 2023-05-29T07:24:11Z 2023-05-29T07:24:11Z 2019 Article 10.35940/ijeat.F1297.0886S219 2-s2.0-85073719829 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073719829&doi=10.35940%2fijeat.F1297.0886S219&partnerID=40&md5=0f82b1278dfe07c813aeae268ad8c932 https://irepository.uniten.edu.my/handle/123456789/24524 8 6 Special Issue 2 978 981 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 |
The method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. By using the statistics theory it creates the mathematical model, and its major work is to surmise from the examples gave. To take the data straightforwardly from the information the approach uses computational methods. For recognize and identify the disease correctly a pattern is very necessary in Diagnosis recognition of disease. for creating the different models machine learning is used, this model can use for prediction of output and this output is depend on the input that is related to the data which previously used. For curing any disease it is very important to identify and detect that disease. For classify the disease classification algorithms are used. It uses are many dimensionality reduction algorithms and classification algorithms. Without externally modified the computer can learn with the help of the machine learning. For taking the best fit from the observation set the hypothesis is selected. Multi-dimensional and high dimensional are used in machine learning. By using machine learning automatic and classy algorithms can build. � BEIESP. |
author2 |
56596730700 |
author_facet |
56596730700 Iswanto I. Laxmi Lydia E. Shankar K. Nguyen P.T. Hashim W. Maseleno A. |
format |
Article |
author |
Iswanto I. Laxmi Lydia E. Shankar K. Nguyen P.T. Hashim W. Maseleno A. |
spellingShingle |
Iswanto I. Laxmi Lydia E. Shankar K. Nguyen P.T. Hashim W. Maseleno A. Identifying diseases and diagnosis using machine learning |
author_sort |
Iswanto I. |
title |
Identifying diseases and diagnosis using machine learning |
title_short |
Identifying diseases and diagnosis using machine learning |
title_full |
Identifying diseases and diagnosis using machine learning |
title_fullStr |
Identifying diseases and diagnosis using machine learning |
title_full_unstemmed |
Identifying diseases and diagnosis using machine learning |
title_sort |
identifying diseases and diagnosis using machine learning |
publisher |
Blue Eyes Intelligence Engineering and Sciences Publication |
publishDate |
2023 |
_version_ |
1806426632358985728 |
score |
13.222552 |