基于人工神经网络的胃食管反流病治疗方案优选及MATLAB实现

Optimization of GERD Therapeutic Regimen Based on ANN and Realization of MATLAB

摘要:
目的利用人工神经网络模拟建立智能中医治疗系统，用于胃食管返流病的治疗方案优选。
方法本文采用人工神经网络进行机器学习, 通过系统学习古代文献对于胃食管返流病相关症状的治疗方案，对临床辨证施治过程进行模拟，并取病例模拟进行了客观的验证。
结果机器处方与古文献符合度高达95%以上；
结论机器学习用于中医智能处方切实可行，值得进一步深入研究。

Abstract:
Objective To optimize therapeutic regimens for gastro-esophageal reflux disease (GERD), artificial neural networks (ANNs) are used to simulate and set up an intelligent traditional Chinese medicine (TCM) treatment system.
Methods ANNs were employed for machine learning; the clinical syndrome differentiation and treatment determination were simulated through systematic learning of therapeutic regimens for GERD symptoms in the ancient literature; and case simulation was conducted to achieve objective verification.
Results The conformity of machinery prescription with the ancient literature exceeded 95%.
Conclusion The application of machine learning to TCM intelligent prescription is feasible and worthy of further study.