数字中医药（英文）2018，Vol.1Issue(1)：47-55,9.
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
Wei-Wu WANG 1Rui-Qing NI 2Fang-Yan YU 3Guo-Feng LOU 4赵彩丹5
作者信息
- 1. Amedicin Sverige,Stockholm11520,Sweden
- 2. Institute of Biomedical Engineering, ETH Zürich & University of Zürich,Zürich 8093, Switherland
- 3. Department ofRadiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
- 4. Department of Neuroscience, Uppsala University, Uppsala75124, Sweden
- 5. 厦门大学通信工程系,福建厦门361005,中国
- 折叠
摘要
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.关键词
人工智能/中医专家系统/胃食管返流病/人工神经网络/MATLABKey words
Artificial intelligence/TCM expert system/Gastro-esophageal reflux disease/Artificial neural network引用本文复制引用
Wei-Wu WANG,Rui-Qing NI,Fang-Yan YU,Guo-Feng LOU,赵彩丹..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[J].数字中医药（英文）,2018,1(1):47-55,9.
