以兩種資料探勘方式預測透析中低血壓事件:比較支持向量機法與羅吉斯迴歸法

蔡佩芬

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以兩種資料探勘方式預測透析中低血壓事件:比較支持向量機法與羅吉斯迴歸法

Predict intradialytic hypotension with two data mining methods: comparison between support vector machines and logistic regression

蔡佩芬 , Masters　　Advisor：陳永福　　

繁體中文

羅吉斯迴歸法；支持向量機法；資料探勘；血液透析；低血壓； Logistic regression analysis ； Support vector machines ； Data mining ； Hypotension ； Hemodialysis

Abstract │ Reference (97) │ Altmetrics

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Intradialytic hypotension (IDH) remains an important issue during hemodialysis treatment. Many tools were developed to investigate the mechanisms and predict the hypotensive events when receiving dialysis. Our aim is to design intelligent classifies to identify high risk hemodialysis patients.
Data from 160 hemodialysis patients (61 IDH-prone, 99 IDH-resistant) were analyzed with support vector machines (SVM) and logistic regression analysis (LRA). The IDH event was defined as a systolic pressure <100mmHg or a fall in systolic pressure >20mmHg associated with symptoms of hypotension (cramps, dizziness, nausea, vomiting, headache, sweating, loss of consciousness). The different abilities to predict the occurrences of IDH were compared between these two methods.
SVM demonstrated better overall classification accuracy (81.3%) compared to LRA (76.3%). It was also shown that SVM had higher sensitivity (70.5%) and specificity (87.9%) than LRA (sensitivity: 62.3% and specificity: 84.8%). 
SVM is superior to logistic regression method in predicting the risk of hypotension during hemodialysis. Clinical application of the clinical decision support system designed with SVM may be helpful for nephrologist in discriminating the high risk patients when receiving hemodialysis treatments.

Reference ( 97 ) 〈TOP〉

Aronszajn, N. (1950). Theory of reproducing kernels. Transactions of the American mathematical society, 68, 337-404.
連結：
Bigger, J. T., Jr., Fleiss, J. L., Steinman, R. C., Rolnitzky, L. M., Kleiger, R. E., & Rottman, J. N. (1992). Frequency domain measures of heart period variability and mortality after myocardial infarction. [Research Support, Non-U.S. Gov''tResearch Support, U.S. Gov''t, P.H.S.]. Circulation, 85(1), 164-171.
連結：
Bleyer, A. J., Russell, G. B., & Satko, S. G. (1999). Sudden and cardiac death rates in hemodialysis patients. Kidney international, 55(4), 1553-1559.
連結：
Block, G. A., Klassen, P. S., Lazarus, J. M., Ofsthun, N., Lowrie, E. G., & Chertow, G. M. (2004). Mineral metabolism, mortality, and morbidity in maintenance hemodialysis. Journal of the American Society of Nephrology : JASN, 15(8), 2208-2218.
連結：
Bonnemeier, H., Richardt, G., Potratz, J., Wiegand, U. K., Brandes, A., Kluge, N., et al. (2003). Circadian profile of cardiac autonomic nervous modulation in healthy subjects: differing effects of aging and gender on heart rate variability. [Clinical Trial]. Journal of cardiovascular electrophysiology, 14(8), 791-799.
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