跳至主導覽
跳至搜尋
跳過主要內容
臺北醫學大學 首頁
說明與常見問題
English
中文
首頁
專家檔案
研究單位
專案
研究成果
資料集
活動
按專業知識、姓名或所屬機構搜尋
Using Machine Learning to Predict Abnormal Carotid Intima-Media Thickness in Type 2 Diabetes
Chung-Ze Wu
, Li-Ying Huang, Fang-Yu Chen, Chun-Heng Kuo, Dong-Feng Yeih
內分泌暨新陳代謝科
衛生福利部雙和醫院
研究成果
:
雜誌貢獻
›
文章
›
同行評審
5
引文 斯高帕斯（Scopus）
總覽
指紋
指紋
深入研究「Using Machine Learning to Predict Abnormal Carotid Intima-Media Thickness in Type 2 Diabetes」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Mathematics
Multiple Logistic Regression
100%
Regression tree
100%
Logistic Regression Model
50%
Diastolic Blood Pressure
50%
Nave Bayes
50%
Nursing and Health Professions
Non Insulin Dependent Diabetes Mellitus
100%
Arterial Wall Thickness
100%
Multivariate Logistic Regression Analysis
28%
Cardiovascular Disease
28%
Logistic Regression Analysis
14%
Body Mass
14%
Patient with Type 2 Diabetes
14%
Diastolic Blood Pressure
14%
Creatinine
14%
Random Forest
14%
Medicine and Dentistry
Maturity Onset Diabetes of the Young
100%
Intima-Media Thickness
100%
Cardiovascular Disease
28%
Multivariate Logistic Regression Analysis
28%
Diabetes
14%
Logistic Regression Analysis
14%
Body Mass Index
14%
Patient with Type 2 Diabetes
14%
Diastolic Blood Pressure
14%
Creatinine
14%
Computer Science
Machine Learning
100%
Medium Thickness
100%
Logistic Regression
28%
Regression Tree
28%
Nave Bayes
14%
Random Decision Forest
14%
Logistic Regression Model
14%
Extreme Gradient Boosting
14%
Bayes Classifier
14%
Model Development
14%
Neuroscience
Creatinine
100%
Body Mass Index
100%