An intelligent medical guidance system based on multi-words TF-IDF algorithm

DOI

10.2991/asei-15.2015.277How to use a DOI?

Keywords

Internet healthcare; Intelligent medical guidance; TF-IDF algorithm; Cosine similarity algorithm.

Abstract

He traditional human-aided medical guide service costs heavy human resources. The on-line medical guide service is almost human-aided and has uncertain waiting time for patients. Existing medical guidance systems still have insufficiency for improvement in reliability and correctness. This paper proposed an intelligent medical guide system based on multi-word TF-IDF algorithm, which has been implemented on Android mobile platform. This system applies the improved TF-IDF algorithm and the cosine similarity algorithm to calculate the possibility of disease for patients, and gives the user reasonable guidance. The related experiments proved that the improved TF-IDF algorithm in this paper increased the correctness and reliability of medical guidance.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Y. S. Lin
AU  - L Huang
AU  - Z. M. Wang
PY  - 2015/05
DA  - 2015/05
TI  - An intelligent medical guidance system based on multi-words TF-IDF algorithm
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1399
EP  - 1404
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.277
DO  - 10.2991/asei-15.2015.277
ID  - Lin2015/05
ER  -