| Summary: | 碩士 === 淡江大學 === 資訊工程學系碩士班 === 102 === Most doctors in the diagnosis of urinary incontinence, using the condition of patient''s description as a basis to determine the severity of the disease. Doctors based on experience to determine which patients should be treated with medication, surgery or rehabilitation. Doctors currently lack health systems analysis mechanism, in the absence of the use of instrument checks, it is possible to ignore the factor in some patients when doctors choose for treatment, which is not easy to make the best diagnosis.
In this thesis, using item response theory to analysis the response of patients in questionnaires and further investigate its causes and subsequent coping. In addition, using of the decision tree algorithm analysis patient''s related information. Through not specify classification module or specify classification module find the effectiveness of treatment in patients with factor, classification module speculate general and special patient and provides doctors as treatment information.
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