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

The traditional human-aided medical guide service costs heavy human resources. The online medical guide service is almost human-aided and has an uncertain waiting time for patients. Existing medical guidance systems still have insufficiency for improvement in reliability and correctness. This paper proposes an intelligent medical guide system based on the multi-word TF-IDF algorithm, which is implemented on the 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 reasonable user guidance. The experimental results proved that the improved TF-IDF algorithm proposed in this paper increased the correctness and reliability of medical guidance.