K-Means Clustering with Content Based Doctor Recommendation for Cancer

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient’s feedback wi...

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Bibliographic Details
Published inInternational Journal of Advanced Culture Technology(IJACT) Vol. 8; no. 4; pp. 167 - 176
Main Authors 레티나쿠마르, Gopinath Ganapathy, 강정진
Format Journal Article
LanguageEnglish
Published 국제문화기술진흥원 31.12.2020
Subjects
과학기술학
Content Based
E-health
Recommended system
Health social network
K-Means Clustering
Online AccessGet full text
ISSN2288-7202
2288-7318

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Table of Contents:
  • Abstract 1. Introduction 2. Related Research 2.1 K-Means Clustering 2.2 Recommender System 2.3 Content Based Recommendation Algorithms 3. Proposed System 4. Experimental Evaluation 4.1 Experiment Environment 4.2 Dataset and Evaluation Measures 4.3 Evaluation Measures 5. Conclusions and Future work References