英文摘要 |
Through the increasing of the number of inheritance and rare diseases, people have understood more and more knowledge about the causes of these diseases. In general, genetic diseases (or genetic disorders) are caused by abnormal expression of genes, including many chromosome mutations. This paper proposes a way to construct a web-based platform, which integrates medical and biological related information of 140 rare diseases from BUREAU OF HEALTH PROMOTION, TAIWAN and many genetic diseases from OMIM together. Until currently, most of the domestic rare disease-related websites only provide symptoms, treatment and counseling of diseases. In this paper, we have designed a way to connect diseases, genes, SNPs, and gene identification techniques in a single integrated platform. The platform can be searched easily by general public and clinical researchers in order to understand the details and to prevent diseases from happening in advance. Since the emerging of internet techniques, people have learned how to search for the knowledge of rare diseases through the internet. It is sometimes, however, difficult to get a complete knowledge of a rare disease from a single site. In this paper, we have developed a computer-aided tool to integrate genetic information, clinical symptoms of diseases, different gene expression level among different individuals using computer techniques (program language C#). All key information are first collected into an Access database using ADO.NET object techniques and ASP (ASP.NET) web page techniques, we have then constructed some user-friendly interfaces to utilize all the datasets and display answers queried by the end users. Both Chinese and English versions are provided in our RAIDdb system. The advantages of this design are to provide all useful information to patients and their families, as well as to professionals in the healthcare field. The goal of our design is then to provide a complete knowledge of inheritance and rare diseases in a single platform, in this way; it will significantly reduce the search time and increase the computer efficiency. |