- 期刊
- OpenAccess
Prediction of Hypothyroidism Disease by Data Mining Technique
並列摘要
Background: Hypothyroidism is one of the endocrine diseases found in human being, it is not a immediate fatal disease, but progress in chronic status that lead to other diseases. Several machine learning techniques were applied to hypothyroidism for the prediction of hypothyroid medical diseases. Methods: The dataset used for UCI repository which has 3163 observations with 151 belongs to category hypothyroid disease. Considered with two missing data method, four imbalance data method and two kinds of classification models by using serval evaluation indexes to find a better model. Results: After comparison of these models, query_on_thyroxine and lithium were ignored and TBG was reconsidered in the model. A new RF imputation method was used. Finally, all variables model have 100% accuracy but cost time and money, only use TSH, FTI, TBG, TT4 and age variables model also can keep 0.9988 AUC, which will more useful in real case. Conclusion: Both all variables mode and five variables model have very high accuracy than previous studies, a nonparametric ensemble model is suggest in this case. But there also have some limitations like out-of-date data, hypothyroidisms type were not considered.
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- 楊巧暄（2015）。A Diabetes Diagnosis System Using Data Mining and Fuzzy Logic Techniques〔碩士論文，義守大學〕。華藝線上圖書館。https://doi.org/10.6343/ISU.2015.00032
- 李佩勳（2014）。Applying Data Mining Techniques to the Prediction of Survival of Chronic Kidney Disease〔碩士論文，國立中正大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201613593800
- 段名聰（2020）。Using Technique of Data Mining on Health Examination and Personal Habits for Building the Predictive Models of Coronary Heart Disease〔碩士論文，國立成功大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0026-0006202200000067
- 留啟祐（2008）。Applying Integrated Data Mining Techniques to Assist Diagnosis of Liver Disease〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-1108200821124700
- 沈曼瑄、溫信財、楊君萍、廖若蘋、張偉斌（2020）。Application of Data Mining Techniques in Factor Analysis and Prediction of Depression and Suicide。北市醫學雜誌，()，1-21。https://doi.org/10.6200/TCMJ.202012/PP.0008