Treatment recommendation system

In health care service the treatment recommendation system is plays very important role. In health care services for decision making the Treatment Recommender Systems (TRS) presented as a complementary tools. In current process the Treatment Recommender Systems increase the technology usability and...

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Main Authors: Nguyen P.T., Ilayaraja M., Shankar K., Hashim W., Maseleno A.
Other Authors: 57216386109
Format: Article
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2023
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id my.uniten.dspace-24522
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spelling my.uniten.dspace-245222023-05-29T15:24:10Z Treatment recommendation system Nguyen P.T. Ilayaraja M. Shankar K. Hashim W. Maseleno A. 57216386109 55662288300 56884031900 11440260100 55354910900 In health care service the treatment recommendation system is plays very important role. In health care services for decision making the Treatment Recommender Systems (TRS) presented as a complementary tools. In current process the Treatment Recommender Systems increase the technology usability and reduce overloading of information. � BEIESP. Final 2023-05-29T07:24:10Z 2023-05-29T07:24:10Z 2019 Article 10.35940/ijeat.F1301.0886S219 2-s2.0-85073741350 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073741350&doi=10.35940%2fijeat.F1301.0886S219&partnerID=40&md5=3936f6b31ff869b369f772dce7cc5e52 https://irepository.uniten.edu.my/handle/123456789/24522 8 6 Special Issue 2 990 994 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 In health care service the treatment recommendation system is plays very important role. In health care services for decision making the Treatment Recommender Systems (TRS) presented as a complementary tools. In current process the Treatment Recommender Systems increase the technology usability and reduce overloading of information. � BEIESP.
author2 57216386109
author_facet 57216386109
Nguyen P.T.
Ilayaraja M.
Shankar K.
Hashim W.
Maseleno A.
format Article
author Nguyen P.T.
Ilayaraja M.
Shankar K.
Hashim W.
Maseleno A.
spellingShingle Nguyen P.T.
Ilayaraja M.
Shankar K.
Hashim W.
Maseleno A.
Treatment recommendation system
author_sort Nguyen P.T.
title Treatment recommendation system
title_short Treatment recommendation system
title_full Treatment recommendation system
title_fullStr Treatment recommendation system
title_full_unstemmed Treatment recommendation system
title_sort treatment recommendation system
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2023
_version_ 1806426175440945152
score 13.222552