直觉
计算机科学
人工智能
决策树
功能(生物学)
医学知识
常见问题
互联网
机器学习
万维网
心理学
医学
医学教育
进化生物学
生物
认知科学
作者
Shi-Jim Yen,Xing-Dong Chiu,Shih-Cheng Ye
标识
DOI:10.1109/ispacs51563.2021.9651053
摘要
Physical questioning refers to the fact that the doctor asks a series of questions to the patient. After getting the answers, they will synthesize and analyze all the answers to figure out which physique the patient has. In the Traditional Chinese Medicine(TCM) clinic, due to time pressure, the doctor can only ask the patient a few questions, and then use other diagnostic methods to guess the cause, which can easily lead to misdiagnosis. This paper attempts to use machine learning, which has fast training and high accuracy, and the analysis model is closest to the decision tree of human intuition. It is combined with the TCM body mass scale to build an Intelligent Online Consultation System that can quickly and accurately analyze the patient's physique. The decision tree of this system shortens the TCM body mass scale, which originally had to answer 44 questions to get the physique result, to only 3 questions to know the patient’s possible physique. This system can be used with only one internet-connected device and network, can be cross-platform, and has an online learning function, which can be customized to improve accuracy. This system can assist doctors in seeing a doctor, and can also allow patients to track their physical conditions at home for more accurate medical treatment.
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