(Building an automated analysis system to analyze correlation between any two diseases by cohort study design on Longitudinal Health Insurance Database (LHID))
[Endnote RIS 格式]
[相關文章] [文章引用] [完整記錄] [館藏目錄] 至系統瀏覽論文 ( 永不開放)
||In Taiwan, National Health Insurance Research Database (NHIRD) plays an important role on medical research. The NHIRD studies grow up rapidly in publication number and quality since 2000. The Longitudinal Health Insurance Database (LHID) is a data subset of the NHIRD and constructed for research purposes. Because of precious and numerous data, there are many research institutions selecting the NHIRD or LHID as their research resource now. Among journals in 2014, cohort study design is widely used in NHIRD. With the growth of the information in medical database, the efficiency of research on medical database will be concerned. However, we do not find any automated analysis system based on NHIRD or LHID in Taiwan’s publications. A lot of precious information is in the NHIRD, so we need to discover the information fast and efficiently. In our study, we want to implement an automatic analysis system to analyze correlation between any two diseases by cohort study design on the LHID.|
★ National Health Insurance Research Database|
★ Longitudinal Health Insurance Database
★ cohort study
★ automatic analysis system
||Table of Contents|
Table of Contents iii
List of Tables v
List of Figures vi
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation 2
1.3 Research goal 2
Chapter 2 Related Works 3
2.1 Cohort study design 3
2.2 Introduce research procedure between researchers and medical database 5
Chapter 3 Materials and Methods 6
3.1 Data source 6
3.2 System design 6
3.3 Details in system design 7
3.3.1 Website Query 8
3.3.2 Data Converter 9
3.3.3 Statistical Software 11
3.3.4 Result Convertor and Website Displayer 11
Chapter 4 Results 13
4.1. Website of the system 13
4.2. Verifying analysis system 15
4.2.1 Verifying analysis results by common sense 15
4.2.2 Verifying analysis results by journals 17
Chapter 5 Discussion and Conclusion 28
List of Tables
Table 1. Three cases of common sense for verifying results of analysis system 16
Table 2. The results in some journals for verifying results of analysis system 19
Table 3. The results of analysis system with similar parameters input for verifying system 20
Table 4. Baseline characteristics of schizophrenia and non-schizophrenia groups in 1998-2001  21
Table 5. Baseline of characteristics in Schizophrenia patients and matched cohort between 1999 and 2001 generated by automated analysis system 21
Table 6. Demographic data and comorbidity comparison of the study subjects  22
Table 7. Baseline of characteristics in rheumatoid arthritis patients and matched cohort between 2000 and 2004 generated by automated analysis system 22
Table 8. Demographic characteristics and comorbidities in cohorts with and without chronic obstructive pulmonary disease (COPD) 23
Table 9. Baseline of characteristics in COPD patients and matched cohort between 1999 and 2008 generated by automated analysis system 23
Table 10. Comparison of baseline characteristics between patients with and without osteoporosis, Taiwan 2000  24
Table 11. Baseline of characteristics in Osteoporosis patients and matched cohort between 2000 and 2008 generated by automated analysis system 24
Table 12. Comparisons of dementia incidences between patients with and without osteoporosis and associated hazard ratios by age, gender, comorbidity and medication, Taiwan 2000–2010  25
Table 13. Incidence of two cohorts and Cox model measured hazards ratio for patients with Osteoporosis and without in 2000-2008 generated by automated analysis system 25
Table 14. Independent predictors of CKD identified by Cox regression analysis  26
Table 15. Risk factors for patients with Schizophrenia and matched cohort 26
Table 16. Hazard Risk of Dementia and Dementia-Associated Risk Factors  27
Table 17. Risk factors for patients with Pulmonary Tuberculosis and matched cohort. 27
List of Figures
Figure 1. Common procedures in cohort study design 4
Figure 2. Flowchart of research procedure 5
Figure 3. Flowchart of automatic analysis system 7
Figure 4. System flow of automatic analysis system 7
Figure 5. An example of making a query on website 8
Figure 6. An example of transformation between query and SAS code 9
Figure 7. Flow of data processing by cohort study 10
Figure 8. An example of result tables from our analysis system 12
Figure 9. An example of result tables from our analysis system 12
Figure 10. An example of result tables from our analysis system 12
Figure 11. An example of making a query 13
Figure 12. An example of finished query 14
Figure 13. An example of getting results by query number 14
1. National Health Insurance Research Database. (Accessed at http://nhird.nhri.org.tw/.).
2. Chen, Yu-Chun, et al. "Taiwan′s National Health Insurance Research Database: administrative health care database as study object in bibliometrics." Scientometrics 86.2 (2010): 365-380.
3. NCBI, Resource Coordinators. "Database resources of the National Center for Biotechnology Information." Nucleic acids research 42.Database issue (2014): D7.
4. Kestenbaum, Bryan. Epidemiology and biostatistics: an introduction to clinical research. Springer Science & Business Media, 2009.
5. Song, Jae W., and Kevin C. Chung. "Observational studies: cohort and case-control studies." Plastic and reconstructive surgery 126.6 (2010): 2234.
6. Lin, Miao-Chiu, et al. "Increased risk of depression in patients with rheumatoid arthritis: a seven-year population-based cohort study." Clinics 70.2 (2015): 91-96.
7. Liao, Chun-Hui, et al. "The association of peptic ulcer and schizophrenia: A population-based study." Journal of psychosomatic research 77.6 (2014): 541-546.
8. Liao, W‐C., et al. "The association between chronic obstructive pulmonary disease and dementia: a population‐based retrospective cohort study." European Journal of Neurology 22.2 (2015): 334-340.
9. Chang, Kuang-Hsi, et al. "Increased risk of dementia in patients with osteoporosis: a population-based retrospective cohort analysis." Age 36.2 (2014): 967-975.
10. Klahan, Sukhontip, et al. "Osteoporosis increases subsequent risk of gallstone: a nationwide population-based cohort study in Taiwan." BMC gastroenterology 14.1 (2014): 192.
11. Lin, H‐H., et al. "Increased risk of erectile dysfunction among patients with sleep disorders: a nationwide population‐based cohort study." International journal of clinical practice (2015).
12. Shen, Te-Chun, et al. "Chronic Obstructive Pulmonary Disease is Associated with an Increased Risk of Peripheral Arterial Disease." 內科學誌 25.4 (2014): 272-280.
13. Tzeng, Nian-Sheng, et al. "Is schizophrenia associated with an increased risk of chronic kidney disease? A nationwide matched-cohort study." BMJ open 5.1 (2015): e006777.
14. Chu, Chia-Huei, et al. "Migraine is a risk factor for sudden sensorineural hearing loss: a nationwide population-based study." Cephalalgia 33.2 (2013): 80-86.
15. Peng, Yi-Hao, et al. "Increased Risk of Dementia Among Patients With Pulmonary Tuberculosis A Retrospective Population-Based Cohort Study." American journal of Alzheimer′s disease and other dementias (2015): 1533317515577186.
16. Yao, Hongwei, and Irfan Rahman. "Current concepts on the role of inflammation in COPD and lung cancer." Current opinion in pharmacology 9.4 (2009): 375-383.
17. Mannino, David M., et al. "Low lung function and incident lung cancer in the United States: data From the First National Health and Nutrition Examination Survey follow-up." Archives of internal medicine 163.12 (2003): 1475-1480.
18. World Health Organization, ed. Prevention and management of osteoporosis: report of a WHO scientific group. No. 921. Diamond Pocket Books (P) Ltd., 2003.
19. Cosman, F., et al. "Clinician’s guide to prevention and treatment of osteoporosis." Osteoporosis international 25.10 (2014): 2359-2381.
20. Tan, T., et al. "Inpatient management of diabetic foot problems: summary of NICE guidance." BMJ 342 (2011).
21. Kalaivani, V. "Evaluation of diabetic foot complications according to Amit Jain’s classification." Journal of clinical and diagnostic research: JCDR 8.12 (2014): NC07.
facebook plurk twitter funp google live udn HD myshare reddit netvibes friend youpush delicious baidu
Google bookmarks del.icio.us hemidemi myshare