Building a Disease Network Based on Longitudinal Health Insurance Database (LHID)
碩士 === 國立中央大學 === 資訊工程學系在職專班 === 105 === Taiwan's health insurance system is perfect, the doctor level and medical equipment is excellent. In such an environment, National Health Insurance Research Database (NHIRD) stored medical records is a very precious treasure. Whether it is academic or no...
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ndltd-TW-105NCU053920732017-10-22T04:29:51Z http://ndltd.ncl.edu.tw/handle/14681276685216213290 Building a Disease Network Based on Longitudinal Health Insurance Database (LHID) 建立一個基於健保資料庫的疾病網路 Hsuan Li 李宣 碩士 國立中央大學 資訊工程學系在職專班 105 Taiwan's health insurance system is perfect, the doctor level and medical equipment is excellent. In such an environment, National Health Insurance Research Database (NHIRD) stored medical records is a very precious treasure. Whether it is academic or non-academic circles want to dig these original information. Therefore, the NHIRD-based research papers have a considerable amount of output. These papers are usually some specific subject, such as disease to disease or drug to disease. But there is little integrated study to look at the relevance of the disease for them. In recent years, the disease network has been a lot of research. These studies are to transform complex problems into graph. And then use the graph method to solve the problem. And our motivation is to build a disease network based on Taiwan health insurance database network, so that researchers can be macroscopic to observe the relevance of the disease, and can be a preliminary comparison of disease. Jorng-Tzong Horng Li-Ching Wu 洪炯宗 吳立青 2017 學位論文 ; thesis 41 zh-TW |
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碩士 === 國立中央大學 === 資訊工程學系在職專班 === 105 === Taiwan's health insurance system is perfect, the doctor level and medical equipment is excellent. In such an environment, National Health Insurance Research Database (NHIRD) stored medical records is a very precious treasure. Whether it is academic or non-academic circles want to dig these original information. Therefore, the NHIRD-based research papers have a considerable amount of output. These papers are usually some specific subject, such as disease to disease or drug to disease. But there is little integrated study to look at the relevance of the disease for them. In recent years, the disease network has been a lot of research. These studies are to transform complex problems into graph. And then use the graph method to solve the problem. And our motivation is to build a disease network based on Taiwan health insurance database network, so that researchers can be macroscopic to observe the relevance of the disease, and can be a preliminary comparison of disease.
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author2 |
Jorng-Tzong Horng |
author_facet |
Jorng-Tzong Horng Hsuan Li 李宣 |
author |
Hsuan Li 李宣 |
spellingShingle |
Hsuan Li 李宣 Building a Disease Network Based on Longitudinal Health Insurance Database (LHID) |
author_sort |
Hsuan Li |
title |
Building a Disease Network Based on Longitudinal Health Insurance Database (LHID) |
title_short |
Building a Disease Network Based on Longitudinal Health Insurance Database (LHID) |
title_full |
Building a Disease Network Based on Longitudinal Health Insurance Database (LHID) |
title_fullStr |
Building a Disease Network Based on Longitudinal Health Insurance Database (LHID) |
title_full_unstemmed |
Building a Disease Network Based on Longitudinal Health Insurance Database (LHID) |
title_sort |
building a disease network based on longitudinal health insurance database (lhid) |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/14681276685216213290 |
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