Treatment Recommendation System
Phong Thanh Nguyen1, M. Ilayaraja2, K. Shankar3, Wahidah Hashim4, Andino Maseleno5
1Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
2M.Ilayaraja, Department of Computer Science and Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, India.
3K.Shankar, Department of Computer Applications, Alagappa University, Karaikudi, India.
4Wahidah Hashim, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
5Andino Maseleno, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 990-994 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F13010886S219/19©BEIESP | DOI: 10.35940/ijeat.F1301.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Health Sevices, Treatment Recommender, Complementary Tools.
Scope of the Article: Adaptive Systems