[The clinical application of data mining in laryngeal cancer].

OBJECTIVE: To provide a basis for the prediction and early diagnosis of laryngeal cancer through data mining and analysis. METHOD: We constructed a laryngeal cancer data warehouse on Caché and combined IBM Cognos for on-line analytical processing. After building research data set, software Weka was used for feature selection and data mining. RESULT: Data warehouse of laryngeal cancer was structured and Laryngeal cancer data were multidimensional presented. It is possible to find the high relevant and potential characteristics associated with laryngeal cancer by integration and 2-phase feature subset of data mining to extract the larynx. CONCLUSION: Application of data mining technology could help clinicians to find potential clinical knowledge and make early diagnosis of laryngeal cancer.

Establishment of a comprehensive database for laryngeal cancer related genes and the miRNAs / 中华耳鼻咽喉头颈外科杂志

<p><b>OBJECTIVE</b>By collecting and analyzing the laryngeal cancer related genes and the miRNAs, to build a comprehensive laryngeal cancer-related gene database, which differs from the current biological information database with complex and clumsy structure and focuses on the theme of gene and miRNA, and it could make the research and teaching more convenient and efficient.</p><p><b>METHODS</b>Based on the B/S architecture, using Apache as a Web server, MySQL as coding language of database design and PHP as coding language of web design, a comprehensive database for laryngeal cancer-related genes was established, providing with the gene tables, protein tables, miRNA tables and clinical information tables of the patients with laryngeal cancer.</p><p><b>RESULTS</b>The established database containsed 207 laryngeal cancer related genes, 243 proteins, 26 miRNAs, and their particular information such as mutations, methylations, diversified expressions, and the empirical references of laryngeal cancer relevant molecules. The database could be accessed and operated via the Internet, by which browsing and retrieval of the information were performed. The database were maintained and updated regularly.</p><p><b>CONCLUSION</b>The database for laryngeal cancer related genes is resource-integrated and user-friendly, providing a genetic information query tool for the study of laryngeal cancer.</p>

A web-based integrated clinical database for laryngeal cancer / 临床耳鼻咽喉头颈外科杂志

OBJECTIVE@#To establish an integrated database for laryngeal cancer, and to provide an information platform for laryngeal cancer in clinical and fundamental researches. This database also meet the needs of clinical and scientific use.@*METHOD@#Under the guidance of clinical expert, we have constructed a web-based integrated clinical database for laryngeal carcinoma on the basis of clinical data standards, Apache+PHP+MySQL technology, laryngeal cancer specialist characteristics and tumor genetic information.@*RESULT@#A Web-based integrated clinical database for laryngeal carcinoma had been developed. This database had a user-friendly interface and the data could be entered and queried conveniently. In addition, this system utilized the clinical data standards and exchanged information with existing electronic medical records system to avoid the Information Silo. Furthermore, the forms of database was integrated with laryngeal cancer specialist characteristics and tumor genetic information.@*CONCLUSION@#The Web-based integrated clinical database for laryngeal carcinoma has comprehensive specialist information, strong expandability, high feasibility of technique and conforms to the clinical characteristics of laryngeal cancer specialties. Using the clinical data standards and structured handling clinical data, the database can be able to meet the needs of scientific research better and facilitate information exchange, and the information collected and input about the tumor sufferers are very informative. In addition, the user can utilize the Internet to realize the convenient, swift visit and manipulation on the database.