Disease analysis or diagnosis, It's what the doctor needs to do to be able to cure disease.  Generally, the doctor has to decide what the patient's disease is. From the information obtained from the history taking, physical examination, and sending laboratory tests. 

        A large amount of medical information is stored in the database. but the general database management system may not be able to handle the information effectively. Implementing Data Mining Techniques will be help analyze important data from large archives. The information obtained when processed in conjunction with the knowledge and experience of the physicians,  correct diagnosis, this will lead to further treatment of the right disease.

        Discover data mining techniques to create automated disease analysis models. Based on the research results of  Asst. Prof. Dr. Niwet Chirawichitchai, researched for characteristics and compare the performance, knowledge synthesis algorithm, that suitable for medical information. 

        To study and compare which or type of algorithm is efficient synthesi, or the best learning for the  classification of medical diseases. Learn how to improve efficiency. that algorithm with different techniques. In order to increase the ability to  analyze the disease more accurately as well as a comparative  study of methods to reduce characteristics suitable for medical data.

        Online issue >>>  https://tdc.thailis.or.th/tdc/browse.php?option=show...

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Title : Data mining techniques for automatical disease analysis

 Author : Niwet Chirawichitchai 

Classification : ว.จ 613.62072 น678ร

Researved the hard copy >>> http://www.e-lib.ssru.ac.th:8080/liberty/libraryHome.do