Abstract
During the last decades, Chinese medicine has been widely used for curing various diseases in the healthcare domain. Based on the databases of medicine wisdom and modern application of prescriptions, we have explored the medication pattern of ancient and modern prescriptions for the treatment of peptic ulcer in various patients. In this paper, we have proposed a neural network model which is based on the time series decomposition and is able to mine and predict the medication pattern of peptic ulcer treatment in Chinese medicine. For this purpose, cumulative distance level method, Mann–Kendall trend analysis, Hurst exponent, and characteristic point methods are used for the trend analysis. Likewise in the proposed model, the wavelet analysis method is used for the periodicity analysis and Mann–Kendall mutation test method along with Pettitt methods is used for mutability analysis. In addition, autocorrelation and unit root methods are utilized to test the random terms. The Chinese herbal formulas (where the main diseases are peptic ulcer, peptic ulcer, cerebral leakage, and cerebral abscess) are collected from the databases of medicine wisdom and modern application of prescriptions. Furthermore, methods of frequency analysis, association rule analysis, and factor analysis are used to evaluate the grouping pattern of prescriptions for peptic ulcer treatment. The error in the proposed scheme between the predicted and the measured values of 87 prescriptions, which involve five Chinese medicines for peptic ulcer and 160 Chinese medicines, obtained from the neural network was 16.79%.
Highlights
Peptic ulcer is a chronic disorder of the gastrointestinal system which is caused by the erosion of the gastrointestinal mucosa by gastric acid and pepsin
Its pathogenesis is complex and variable and it is often associated with serious complications, which are thought to be related to HP infection, gastric acid and pepsin erosion, nonsteroidal anti-inflammatory drugs, mental stimulation, and genetics. ere is no name for peptic ulcer in Chinese medicine, but according to its symptoms, location, and complications, it is generally classified as “gastric pain,”
We have developed a neural network model which is based on the time series decomposition to ensure mining and prediction medication pattern of peptic ulcer treatment in Chinese medicine
Summary
Peptic ulcer is a chronic disorder of the gastrointestinal system which is caused by the erosion of the gastrointestinal mucosa by gastric acid and pepsin. E symptoms of peptic ulcer are generally classified as “gastric pain,” “acid reflux,” “gastric distention,” and “noisy” in Chinese medicine, but “gastric pain” is more common. We have continuously inherited, developed, and innovated and have our own unique insights into the Chinese medical evidence-based treatment of peptic ulcer, focusing on the combination of disease and evidence and flexible treatment. Based on the above two databases, this study collected ancient and modern prescriptions for peptic ulcer treatment, analyzed their medication patterns using various data mining methods, and provided references for Chinese medicine treatment of peptic ulcer
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