体质智能在线咨询系统

Shi-Jim Yen, Xing-Dong Chiu, Shi Ye
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引用次数: 0

摘要

身体询问是指医生向病人提出一系列问题。在得到答案后,他们将综合和分析所有的答案,以找出病人的体质。在中医诊所,由于时间压力,医生只能问病人几个问题,然后用其他诊断方法猜测原因,这很容易导致误诊。本文尝试使用机器学习,机器学习训练速度快,准确率高,分析模型最接近人类直觉的决策树。结合中医体质秤,构建智能在线咨询系统,快速准确分析患者体质。该系统的决策树将中医体质量表从原来需要回答44个问题才能得到体质结果,缩短到只需回答3个问题就能知道病人可能的体质。该系统可以只与一台联网设备和网络一起使用,可以跨平台,并具有在线学习功能,可以定制,提高准确性。这个系统可以帮助医生看病,也可以让病人在家里跟踪自己的身体状况,以便更准确地进行医疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Online Consultation System for Body Constitutions
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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