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To explore the regularity of clinical medication of Gastro-esophageal reflux disease (GERD) through text mining approach. Literatures on GERD in SinoMed(Chinese biomedical literature service system) were collected. Results: BANXIA, CHAIHU and HUANGLIAN were commonly used Chinese herbs in sequence from high to low, the network of Chinese herbs, symptoms and patterns could be established. Conclusion:...
In traditional medical diagnosis, the aim of using classification learning models is for high diagnosis accuracy. However, accurate class probability estimate is more desirable than prediction accuracy in practical medical diagnosis application. Although several probability estimation models based on decision trees have been adopted in many other areas, they both have an obstacle to achieving accurate...
The purpose of this paper is to provide objective gist for organ differentiation of traditional Chinese medicine (TCM). In this paper, we collected 803 voice signals of patients with five internal organs illness and 100 voice signals of normal persons. We extracted the sample entropy characteristic of each group when embedded dimension was 2. By analyzing the statistics result, we found: (1) the sample...
In molecular biology, Gene Ontology (GO) has often been used for annotation and as a data mining dimension. A frequently performed step in microarray analytics is the clustering of co-expressed genes by their GO bioprocesses. Biological deductions are then made from the visual representation of the cluster pattern. Thus far, the question of how different representations of GO-annotated clusters affect...
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