关键词: 智能导医系统, 人工智能, 重心后移, 同义词匹配, TF-IDF算法

Abstract: Intelligent guidance system oriented to patients using artificial intelligence technology, according the patient’s symptoms to calculate possible disease, guide the patients to registrars correctly. At present, most of the intelligent guide system through input the patient’s symptoms or put forward questions in the website. This approach is prone to appear problems which the patient’s input and medical professional symptoms of the words do not match, resulting the disease of calculated low reliability. In order to solve this problem, this paper puts forward the barycenter backward algorithm combination with medical professions thesaurus to the literal similarity algorithm to identify synonyms, mapping the symptoms to the symptoms of the patient; According to the symptoms of the disease, whether important or not only in each of the characteristics of a disease, propose the calculation method of user attention based on the frequency of symptom; the traditional TF-IDF algorithm takes problem which symptoms uneven in classify diseases, put forward symptoms weight improving algorithm based on disease distribution. The experiment results show that the proposed and improved algorithm has better effect on performance.

Key words: artificial intelligence system, artificial intelligence, barycenter backward algorithm, synonym similarity matching, TF-IDF algorithm