Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis

碩士 === 國立中央大學 === 資訊工程學系 === 105 === Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis Student: Yu-Lun Chiu Advisor: Dr. Jorng-Tzong Horng, Dr. Li-Ching Wu Institute of Computer Science and Information Engineering, National Central University, Taiwan ABST...

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Main Authors: Yu-Lun Chiu, 邱于倫
Other Authors: Jorng-Tzong Horng
Format: Others
Language:en_US
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/p43s59
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spelling ndltd-TW-105NCU053921292019-05-16T00:08:08Z http://ndltd.ncl.edu.tw/handle/p43s59 Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis 全面性尋找類風濕性關節炎之關聯疾病 Yu-Lun Chiu 邱于倫 碩士 國立中央大學 資訊工程學系 105 Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis Student: Yu-Lun Chiu Advisor: Dr. Jorng-Tzong Horng, Dr. Li-Ching Wu Institute of Computer Science and Information Engineering, National Central University, Taiwan ABSTRACT Introduction: Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease. The common patients in women and the elderly. The age of onset is 40-60 years old in women. Patients with rheumatoid arthritis, if not in the early diagnosis and treatment, patients will suffer from persistent and permanent bone and joint damage, reduce the quality of life, or even reduce life. The aim of this study uses the association rule analysis to comprehensively scan the association of disease with rheumatoid arthritis. Method: Based on NHIRD of the registration files and original claim data, the patients 30 years of age with rheumatoid arthritis. After using the International Classification of Diseases (ICD-9-CM) grouping the disease, the relative risk is calculated for each classification of diseases. Then, the data compiled into a WEKA required format, do the association rule to find out the relevance of the disease. Result: Most of the results are consistent with the association of RA and disease in the known literature. Such as tuberculosis-related diseases, thyroid-related diseases, gout, autoimmune diseases, iron deficiency anemia, temporomandibular Joint disorders are associated with RA. Also found that some diseases associated with RA, but there is no literature to explore a single disease or at the same time suffering from a relationship between the two diseases and RA. Such as dehydration, hypokalemia, leukopenia, and Raynaud's syndrome and SLE / SS are associated with RA. Conclusion: We search the relevant research to verify the accuracy of the association rule analysis results and discover the relevance of the disease to the target disease. Index terms- Rheumatoid Arthritis, Comprehensive scanning, Association rule Jorng-Tzong Horng Li-Ching Wu 洪炯宗 吳立青 2017 學位論文 ; thesis 49 en_US
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language en_US
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description 碩士 === 國立中央大學 === 資訊工程學系 === 105 === Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis Student: Yu-Lun Chiu Advisor: Dr. Jorng-Tzong Horng, Dr. Li-Ching Wu Institute of Computer Science and Information Engineering, National Central University, Taiwan ABSTRACT Introduction: Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease. The common patients in women and the elderly. The age of onset is 40-60 years old in women. Patients with rheumatoid arthritis, if not in the early diagnosis and treatment, patients will suffer from persistent and permanent bone and joint damage, reduce the quality of life, or even reduce life. The aim of this study uses the association rule analysis to comprehensively scan the association of disease with rheumatoid arthritis. Method: Based on NHIRD of the registration files and original claim data, the patients 30 years of age with rheumatoid arthritis. After using the International Classification of Diseases (ICD-9-CM) grouping the disease, the relative risk is calculated for each classification of diseases. Then, the data compiled into a WEKA required format, do the association rule to find out the relevance of the disease. Result: Most of the results are consistent with the association of RA and disease in the known literature. Such as tuberculosis-related diseases, thyroid-related diseases, gout, autoimmune diseases, iron deficiency anemia, temporomandibular Joint disorders are associated with RA. Also found that some diseases associated with RA, but there is no literature to explore a single disease or at the same time suffering from a relationship between the two diseases and RA. Such as dehydration, hypokalemia, leukopenia, and Raynaud's syndrome and SLE / SS are associated with RA. Conclusion: We search the relevant research to verify the accuracy of the association rule analysis results and discover the relevance of the disease to the target disease. Index terms- Rheumatoid Arthritis, Comprehensive scanning, Association rule
author2 Jorng-Tzong Horng
author_facet Jorng-Tzong Horng
Yu-Lun Chiu
邱于倫
author Yu-Lun Chiu
邱于倫
spellingShingle Yu-Lun Chiu
邱于倫
Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis
author_sort Yu-Lun Chiu
title Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis
title_short Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis
title_full Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis
title_fullStr Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis
title_full_unstemmed Using Association Rules to Comprehensively Scan Diseases Associated With Rheumatoid Arthritis
title_sort using association rules to comprehensively scan diseases associated with rheumatoid arthritis
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/p43s59
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