Novel Statistical Classification Model of Type 2 Diabetes Mellitus Patients for Tailormade Prevention Using Data Mining Algorithm
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概要
- 論文の詳細を見る
To estimate the usefulness of data mining algorithms for extracting risk predictors of diabetic vascular complications in proper order in the future, we tried applying the Classification and Regression Trees (CART) method to the prevalence data of 155 type 2 diabetic outpatients and already known risk factors. Among the 6 categorical and 15 continuous risk factors, age (cutoff: 65.4) was the best predictor for classifying patients into groups with and without macroangiopathy (p=0.000). Body weight (cutoff: 53.9) was the best predictor (p=0.006) in the older group (age>05.4), whereas systolic blood pressure (cutoff: 144.5) was the best predictor in the remaining group (p=0.002). Age (cutoff: 04.8) was also the best predictor for categorizing them into groups with and without microangiopathy (p=0.000). In the older group (age>64.8), BMI (cutoff: 21.5) was the best predictor (p=Q.001), whereas morbidity term (cutoff: 15.5) was the best predictor in the other group (p=0.010). Because the orders and values of all risk factors and cutoff points mined were reasonable clinically, this method may have the potential to highlight predictors in order of importance to apply tailor-made prevention of diabetic vascular complications. J Epidemiol, 2002 ; 12 : 243-248
- 日本疫学会の論文
著者
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Omae Kazuyuki
慶応義塾大学 医学部衛生学公衆衛生学
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Omae Kazuyuki
Department Of Preventive Medicine And Public Health Keio University School Of Medicine
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MIYAKI Koichi
慶應義塾大学医学部衛生学公衆衛生学教室
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TAKEI Izumi
慶應義塾大学医学部中央臨床検査部
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WATANABE Kiyoaki
慶應義塾大学医学部中央臨床検査部
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Takei Izumi
Department Of Internal Medicine Tokyo Dental College Ichikawa General Hospital
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Miyaki Koichi
Bureaus Of Social Welfare And Public Health Tokyo Metropolitan Government
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Mizutari Kunio
Dep. Of Otorhinolaryngology Head And Neck Surgery School Of Medicine Keio Univ.
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Watanabe Kiyoaki
Department Of Laboratory Medicine Keio University School Of Medicine
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Miyaki Koichi
Department Of Clinical Research And Informatics National Center For Global Health And Medicine
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Nakashima Hiroshi
Department Of Preventive Medicine And Public Health School Of Medicine Keio University
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Nakashima Hiroshi
Department Of Biology Faculty Of Science Okayama University
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Watanabe Kenji
Department Of Anatomy Fukui Medical School
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Omae K
慶應義塾大学医学部衛生学公衆衛生学教室
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Watanabe Kenji
Department Of Agricultural Chemistry College Of Agriculture And Veterinary Medicine Nihon University
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Takei Izumi
Department Of Internal Medicine Center For Diabetes And Endocrinology Ichikawa General Hospital Tokyo Dental College
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WATANABE KIYOAKI
Department of Internal Medicine, School of Medicine Keio University
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