Using Data Mining Techniques in Patient Diagnosis
碩士 === 國立彰化師範大學 === 資訊管理學系所 === 100 === The medical industry is a service industry, except offering to the acute patient the service of seeking medical advice , The target of serving more is that often one fixes the chronic patient who goes to a doctor in the hospital, Age strata are mostly age pati...
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ndltd-TW-100NCUE53960332015-10-13T21:28:01Z http://ndltd.ncl.edu.tw/handle/93434524520345344958 Using Data Mining Techniques in Patient Diagnosis 應用資料探勘技術於病患疾病診斷之研究 謝祖仁 碩士 國立彰化師範大學 資訊管理學系所 100 The medical industry is a service industry, except offering to the acute patient the service of seeking medical advice , The target of serving more is that often one fixes the chronic patient who goes to a doctor in the hospital, Age strata are mostly age patients on the middle and senior level, except that main disease is sought while seeking medical advice, will often be with other disease symptoms, such as the diabetes patient person often with high blood pressure, some disease symptoms of the eye, Must check to track too that treat to other medical training clinic while going to a doctor, if can offer a patient to seek medical advice medical care intact and convenient, to the patient seeking medical advice to the hospital, can save time, can offer a patient to combine as to hospital and intact medical treatment is looked after, further analyze the relevant information of disease that a patient seeks medical advice, the expectation can be found potential and having rule of relation nature, can even use to get the result of prevention from suffering from the diseases. Find result of study, at occupy all by certain rate no matter in number of times, women suffer from number and going to a doctor rate to suffer from the number of people and clinic and go to a doctoring etc. blood pressure disease, reveal that looks after the importance on at chronic disease. Women suffer from the number of people at multiple chronic diseases and is generally higher than men. Analyze, reveal with age level, have blood pressure these sector suffers from number to obviously increase in 40-64 year old. The Association rule analysis result of the chronic disease diagnosis: high blood pressure and Confidence that spends above and other 50% chronic disease such as vascular disease of the brain, diabetes, heart disease, other metabolism lack proper care and the intersection of immunity and unregulated illness and the intersection of gullet and the intersection of and stomach and disease of duodenum, etc. have high relation. 黃木榮 2012 學位論文 ; thesis 84 zh-TW |
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碩士 === 國立彰化師範大學 === 資訊管理學系所 === 100 === The medical industry is a service industry, except offering to the acute patient the service of seeking medical advice , The target of serving more is that often one fixes the chronic patient who goes to a doctor in the hospital, Age strata are mostly age patients on the middle and senior level, except that main disease is sought while seeking medical advice, will often be with other disease symptoms, such as the diabetes patient person often with high blood pressure, some disease symptoms of the eye, Must check to track too that treat to other medical training clinic while going to a doctor, if can offer a patient to seek medical advice medical care intact and convenient, to the patient seeking medical advice to the hospital, can save time, can offer a patient to combine as to hospital and intact medical treatment is looked after, further analyze the relevant information of disease that a patient seeks medical advice, the expectation can be found potential and having rule of relation nature, can even use to get the result of prevention from suffering from the diseases.
Find result of study, at occupy all by certain rate no matter in number of times, women suffer from number and going to a doctor rate to suffer from the number of people and clinic and go to a doctoring etc. blood pressure disease, reveal that looks after the importance on at chronic disease. Women suffer from the number of people at multiple chronic diseases and is generally higher than men. Analyze, reveal with age level, have blood pressure these sector suffers from number to obviously increase in 40-64 year old. The Association rule analysis result of the chronic disease diagnosis: high blood pressure and Confidence that spends above and other 50% chronic disease such as vascular disease of the brain, diabetes, heart disease, other metabolism lack proper care and the intersection of immunity and unregulated illness and the intersection of gullet and the intersection of and stomach and disease of duodenum, etc. have high relation.
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author2 |
黃木榮 |
author_facet |
黃木榮 謝祖仁 |
author |
謝祖仁 |
spellingShingle |
謝祖仁 Using Data Mining Techniques in Patient Diagnosis |
author_sort |
謝祖仁 |
title |
Using Data Mining Techniques in Patient Diagnosis |
title_short |
Using Data Mining Techniques in Patient Diagnosis |
title_full |
Using Data Mining Techniques in Patient Diagnosis |
title_fullStr |
Using Data Mining Techniques in Patient Diagnosis |
title_full_unstemmed |
Using Data Mining Techniques in Patient Diagnosis |
title_sort |
using data mining techniques in patient diagnosis |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/93434524520345344958 |
work_keys_str_mv |
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