Using Data Mining Technology To Analyze The SymptomsAnd Treatment Divisions

碩士 === 嶺東科技大學 === 資訊科技應用研究所 === 100 === When people go to the hospital, the first problems which need to hang the divisions. However, the treatment of different diseases in different divisions. The doctor ask the symptoms from patients, as the reference of diseases from patients. Therefore, the affe...

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Bibliographic Details
Main Authors: Jia-Hung Chen, 陳佳鴻
Other Authors: Tsui-Ping Chang
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/02924092759742567914
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Summary:碩士 === 嶺東科技大學 === 資訊科技應用研究所 === 100 === When people go to the hospital, the first problems which need to hang the divisions. However, the treatment of different diseases in different divisions. The doctor ask the symptoms from patients, as the reference of diseases from patients. Therefore, the affects disease of symptoms is a important factor.In this study, using data mining technology to analyze symptoms and treatment divisions, then adding the factors of gender, age to be explored the relationship between the symptoms and treatment divisions.In this study, using data mining technology of association rule and decision tree, to investigate the relationship of the symptoms and treatment division, from hospital's data. The study concluded the related symptoms on the patients of the young children and adolescent are mostly caused by the cold. The middle and old patients more are chronic diseases and cardiovascular diseases. The most of the symptom are pregnancy and production by adolescent patients, and the special of symptom are diabetes and chronic renal failure in adolescent. We hope that information can provide to doctors as a reference.