An integration of medical data management system based on WEB and data mining tool is reportedly in this paper. In the application process of this system, web-based medical data mining user sends requests to the server by using client browser with http protocol, the commands are then received by the server and the server calls the data mining tools remote object for data processing, and the results are sent back to the customer browser through the http protocol and presented to the user. In order to prove the feasibility of the proposed solution, the test is done under the NET platform by using SAS and SPSS, and the detail steps are given. By the practical test, it was proved that the web-based data mining tool integration solutions proposed in this paper would have its broad prospects for development, which would open up a new route to the development of medical data mining.
With the development of computer technology, medical data has developed from traditional paper pattern into electronic mode, which could effectively promote the medical development. This paper at first presents the status and characteristics of medical data mining. Then, it discusses the critical method of medical data mining in classification, clustering and prediction, respectively. The paper focuses on the application and assessment of five algorithms which are designed for medical data mining, including decision tree, cluster analysis, association rule, intelligent algorithm and the mix algorithm. Finally, this paper outlooks the data mining application in medical domain.
ObjectiveTo explore the differentially expressed genes (DEGs) in venous leg ulcer (VLU) by bioinformatics, and further explore the molecular mechanism of the disease, predict early diagnostic markers and treatment targets.MethodsThe expression profiles of VLU were downloaded from the gene expression omnibus (GEO) database, the DEGs of VLU and inflammatory phase of normal skin healing were identified by R software and used to perform gene ontology (GO) and KEGG pathway enrichment analysis, obtaining the key genes of the pathway. We analyzed the proteins of protein interaction (PPI) network by STRING database and Cytoscape 3.2.1 software to obtain hub genes.ResultsA total of 409 DEGs were obtained, including 173 upregulted genes and 236 downregulted genes. The GO analysis showed that the upregulated DEGs mainly distributed in collagen-containing extracellular matrix (ECM), cornified envelope and collagen trimer, involved in biological processes such as skin development, keratinocyte differentiation and cornification, which mediated molecular functions such as ECM structural constituent, ECM structural constituent conferring tensile strength and integrin binding. The downregulated DEGs mainly distributed in tertiary granule, secretory granule membrane and tertiary granule membrane cornification, involved in biological processes such as response to chemokine, leukocyte migration and neutrophil chemotaxis, which mediated molecular functions such as chemokine activity, chemokine receptor binding and cytokine activity. KEGG pathway enrichment analysis results showed that the upregulated DEGs were mainly enriched in ECM-receptor interaction and protein digestion and absorption pathways, collagen type Ⅰ alpha1 chain (COL1A1), collagen type Ⅰ alpha2 chain (COL1A2), and collagen type Ⅵ alpha 6 chain (COL6A6) were the key genes of pathway; the downregulated DEGs were mainly enriched in Staphylococcus aureus infection, Toll-like receptor signaling pathway and leukocyte transendothelial migration pathways, interleukin (IL)-1β, C-X-C motif chemokine ligand 8 (CXCL8), IL-10, matrix metalloproteinase (MMP)1, and MMP9 were the key genes of pathway. The hub core genes of the PPI network were formyl peptide receptor (FPR)1, FPR2, IL-1β, IL-10, and CXCL8.ConclusionsThe results of this study indicate that the genes and signaling pathways involved in COL1A1, COL1A2, COL6A6, IL-1β, CXCL8, IL-10, MMP1, and MMP9 affect the healing of VLU. FPR1, FPR2, IL-1β, IL-10, and CXCL8 can be used as potential therapeutic targets.
Objective To discuss the rules of using traditional Chinese medicine (TCM) to treat systemic lupus erythematosus (SLE) and Sjögren syndrome (SS). Methods The TCM prescriptions for patients with SLE or SS treated at the Department of Rheumatology of Longhua Hospital, Shanghai University of Traditional Chinese Medicine between January 2013 and July 2021 were collected. The prescriptions collected were broken down and analyzed for frequencies of the efficacies, properties, flavors and meridian tropisms of drugs in the prescriptions. The correlation and clustering analysis was performed in VOSviewer software. Results The medication information of 3689 cases of inpatients was included, from which 69167 pieces of data of using TCM prescriptions were extracted. The top 20 high-frequency drugs for treating SLE patients were mainly drugs for promoting blood circulation and removing blood stasis, qi-tonifying drugs, and drugs for heat clearing and detoxicating, which were mostly sweet, bitter or acrid in flavor, cold, warm or neutral in properties, and of the spleen, liver or stomach meridian. The drugs could be seperated into 3 clusters, the blue cluster mainly included qi-tonifying drugs, blood-tonifying drugs, and drugs for promoting blood circulation and removing blood stasis; the green cluster mainly included drugs for heat clearing and drugs for promoting blood circulation and removing blood stasis; and the red cluster mainly consisted of drugs for promoting blood circulation and removing blood stasis, drugs for inducing diuresis and alleviating edema, drugs for dispelling wind-heat, and digestant drugs. The top 20 high-frequency drugs for treating SS patients were mainly drugs for promoting blood circulation and removing blood stasis, qi-tonifying drugs, and drugs for inducing diuresis and alleviating edema, which were mostly sweet, bitter or acrid in flavor, slightly cold, cold or warm in properties, and of the spleen, stomach or liver meridian. The drugs could be seperated into 2 clusters, the green cluster mainly consisted of yin-tonifying drugs, drugs for promoting blood circulation and removing blood stasis, and drugs for heat clearing; the red cluster mainly included qi-tonifying drugs, drugs for promoting blood circulation and removing blood stasis, and drugs for inducing diuresis and alleviating edema. Conclusions The medication for SLE is in line with the treatment principle of “supplementing qi and nourishing yin, detoxicating and removing stasis”; the medication for SS, on the other hand, agrees with the basic rule of “nourishing yin and clearing away heat, promoting body fluid to moisten dryness”. Both are based on the approach of strengthening the body resistance, which is in line with the diagnostic and treatment ideas of rheumatology department and may offer the ideas of TCM syndrome differentiation for clinical use of drugs and thereby guiding the current clinical practice.