Knowledge discovery has been on the rise since the early 1990’s. Medical information and knowledge extraction has been on the rise since the 2000. This has lead to the growth of increase in the amount of documents, information, and medical data, which resulted in making the same more accessible to healthcare professionals.
In recent years, Data Mining technology has been applied in the field of traditional Chinese medicine (TCM) to discover regularities from the experience accumulated in the past thousands of medicine years in China. Electronic medical records (or clinical records) of TCM, containing larger amount of information than, well-structured data of prescriptions extracted manually from TCM literature, such as information related to medical treatment process. This could be an important source for discovering valuable information. However, the information is collected by TCM doctors on a day to day basis without the support of authoritative editorial board, and owing to different experience and background of TCM doctors, the same concept might be described in several different terms. Therefore, clinical records of TCM cannot be used directly. This is were data mining come into play and aid medical transcription and translation industry. Data mining tools could empower such medical professionals to ease there job and also maintain the proper translation according to the medical domain, and help to pass down the knowledge to the next generations correctly.
WebMD is good, but what we also need is Medical Wikipedia which encompasses all the medical knowledge of previous thousand years, from across the world (Various races, places, religions, traditions), at one place.
Tags: Data Mining, news
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