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
連結會在新分頁中打開
English
中文
在 臺北醫學大學 搜尋內容
首頁
專家檔案
研究單位
專案
研究成果
資料集
活動
查看斯高帕斯 (Scopus) 概要
林 昱君
講師
,
家庭醫學科
主治醫師
,
臺北醫學大學附設醫院
https://orcid.org/0000-0003-2349-195X
電子郵件
tmu_b101096105
tmu.edu
tw
,
b101096105
hotmail
com
h-index
257
引文
9
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2019
2026
每年研究成果
概覽
指紋
網路
研究成果
(15)
類似的個人檔案
(12)
指紋
查看啟用 Yu-Jiun Lin 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Nursing and Health Professions
Metabolic Syndrome X
100%
Cohort Analysis
75%
Medical Examination
56%
Receiver Operating Characteristic
42%
Chronic Kidney Failure
39%
Health Care
39%
Preventive Medicine
36%
Decision Trees
35%
Electronic Medical Record
35%
Economic and Social Development
33%
Predictive Model
32%
Emergency Ward
30%
End Stage Liver Disease
30%
Bariatric Surgery
30%
Sepsis
30%
Clinical Decision Support System
30%
Epidemiology
30%
Elastograph
24%
Palliative Therapy
20%
Potentially Inappropriate Medication
20%
Outpatient Care
20%
Outpatient Department
20%
Supervised Machine Learning
18%
Logistic Regression Analysis
15%
University Hospital
15%
Random Forest
14%
Diseases
14%
Area under the Curve
13%
Body Mass
13%
Unsupervised Machine Learning
13%
Adverse Outcome
12%
Infection
12%
Patient Care
9%
National Health Insurance
9%
Healthy Lifestyle
9%
Health Status
9%
Telemedicine
9%
Medical Record
9%
Patient Education
9%
Clinical Practice
9%
Wide Area Network
9%
Teaching Hospital
9%
Public Health Informatics
9%
Health Care Personnel
9%
Chronic Disease
9%
Body Composition
7%
Biochemical Marker
7%
Morbid Obesity
7%
Urea Nitrogen Blood Level
7%
Mortality Rate
7%
Medicine and Dentistry
Metabolic Syndrome
100%
Health Care
69%
Preventive Medicine
66%
4 Iodo 2,5 Dimethoxyamphetamine
60%
Medical Examination
56%
Chronic Kidney Disease
39%
Retrospective Cohort Study
39%
Education
39%
Electronic Patient Record
30%
COVID-19
30%
Clinical Decision Support System
30%
Arm
30%
Artificial Intelligence
30%
FibroScan
24%
Prediction Model
23%
Outpatient Care
20%
Potentially Inappropriate Medication
20%
Outpatient
20%
Sprout
15%
Machine Learning Algorithm
13%
Adverse Outcome
12%
Body Mass Index
11%
Area under the Curve
11%
Logistic Regression Analysis
10%
Infection
9%
Awareness
9%
Health Status
9%
Medical Informatics
9%
Telemedicine
9%
Chronic Disease
9%
Clinician
9%
Chronic Disorder
9%
Ophthalmology
9%
Psychiatry
9%
Medical Record
9%
Rheumatology
9%
Healthy Lifestyle
9%
Health Care Personnel
9%
Glycated Hemoglobin
7%
Diseases
5%
Unsupervised Learning
5%
Hemoglobin A1c
5%
Kidney Function
5%
