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

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.