- 會議論文
- OpenAccess
Combing Multiple Correspondence Analysis and Medoid Partitioning to Determine Risk Factors Associated with Rare Disease Events
摘要
This study was aimed to develop a novel algorithm which incorporated medoid partitioning into multiple correspondence analysis (MCA) to determine the risk factors of rare disease events, which were easily ignored by patients or physicians and may result in more medical resources utilizations. This study used the Taiwan National Health Insurance Research Database (NHIRD) to investigate the onset of transient ischemic attack (TIA) among low risk atrial fibrillation (AF) patients younger than 60 years old, which is a rare disease event among AF patients and is easily ignored by AF patients and cardiologists.
延伸閱讀
- 溫在弘、金傳春、蕭朱杏、嚴漢偉、范毅軍、蘇明道（2002）。Application of Geographic Information Systems to Epidemiological Surveillance, Data Analysis, and Effective Control in Infectious Disease。台灣公共衛生雜誌，21(6)，449-456。https://doi.org/10.6288/TJPH2002-21-06-08
- Gao, F., Xiong, C. J., Yan, Y., Yuc, K., & Zhang, Z. J. (2008). Estimating Optimum Linear Combination of Multiple Correlated Diagnostic Tests at a Fixed Specificity with Receiver Operating Characteristic Curves. Journal of Data Science, 6(1), 1-13. https://doi.org/10.6339/JDS.2008.06(1).368
- Chung, M. H. (2018). Investigating the Pathogenetic Mechanisms of Alzheimer's Disease via Big Data Mining, High throughput Data Estimation, and System Identification [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-1803201914410403
- Lun, C. L. (2015). Analysis on Potential Virulence Factor Contained in the Metagenome Sample of a Periodontitis Patient by Map Reads to Reference Method [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-1802201617063003
- Chen, Y. Y. (2022). Applying the Cohort Studies to Explore the Outcomes in Patients with Cardiovascular Diseases under Various Treatment Strategies and Risk Factors [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU202201040