Optimization of GERD Therapeutic Regimen Based on ANN and Realization of MATLAB
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 syndrom...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
KeAi Communications Co., Ltd.,
2018-03-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| Summary: | 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. Keywords: Artificial intelligence, TCM expert system, Gastro-esophageal reflux disease, Artificial neural network, MATLAB |
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| Item Description: | 2589-3777 10.1016/S2589-3777(19)30007-2 |