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.
Lin et al. REF designed an intelligent medical guide system based on the TF-IDF algorithm, which consists of three modules: the User Interface, Nature Language Symptoms, and Medical Guide Calculations.
An intelligent medical guidance system based on multi-words TF-IDF algorithm
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Computer Science