跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
在 國立陽明交通大學研發優勢分析平台 搜尋內容
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
Examining arterial pulsation to identify and risk-stratify heart failure subjects with deep neural network
Chieh Chun Huang
,
Shih Hsien Sung
, Wei Ting Wang
, Yin Yuan Su
, Chi Jung Huang
, Tzu Yu Chu
, Shao Yuan Chuang
, Chern En Chiang
,
Chen Huan Chen
,
Chen Ching Lin
*
,
Hao Min Cheng
*
*
此作品的通信作者
急重症醫學研究所
醫學系內科學科
生物醫學資訊研究所
研究成果
›
同行評審
1
引文 斯高帕斯（Scopus）
總覽
指紋
指紋
深入研究「Examining arterial pulsation to identify and risk-stratify heart failure subjects with deep neural network」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Heart Failure
100%
Risk Stratification
100%
Deep Neural Network
100%
Arterial Pulsations
100%
Pressure Wave
30%
Patients with Heart Failure
30%
Clinical Variables
30%
Clinical Care
10%
Patient Care
10%
Applanation Tonometry
10%
Risk Prediction Model
10%
Arterial Waveform
10%
All-cause Mortality
10%
Hemodynamic Parameters
10%
Rehospitalization
10%
Heart Failure Patients
10%
Logistic Regression
10%
Significant Predictors
10%
Deep Learning
10%
Multivariable
10%
Sensitivity Specificity
10%
Area under the Receiver Operating Characteristic Curve
10%
Random Forest
10%
Hemoglobin
10%
Sodium
10%
Address Data
10%
Pulse Wave
10%
Percutaneous Coronary Intervention
10%
Emergency Room
10%
Machine Learning Models
10%
Cox Regression Model
10%
Diagnostic Utility
10%
F1 Score
10%
Cox Model
10%
History of Heart Failure
10%
N-terminal Pro-brain Natriuretic Peptide (NT-proBNP)
10%
Regression Support Vector Machine
10%
Pulse Wave Analysis
10%
Concordance Index
10%
Typical Symptoms
10%
Prognostic Utility
10%
Heart Failure Risk
10%
Failure Risk Prediction
10%
Holdout
10%
Engineering
Deep Neural Network
100%
Network Model
50%
Hemodynamic Parameter
25%
One Dimensional
25%
Receiver Operating Characteristic
25%
Operating-Characteristic Curve
25%
Random Forest
25%
Risk Prediction
25%
Emergency Rooms
25%
Learning System
25%
Deep Learning Method
25%
Support Vector Machine
25%
Biochemistry, Genetics and Molecular Biology
Pulse Wave
100%
Hemodynamic
33%
Support Vector Machine
33%
N-Terminus
33%
Random Forest
33%
All Cause Mortality
33%
Brain Natriuretic Peptide
33%
Medicine and Dentistry
Pulse Wave Velocity
100%
Congestive Heart Failure
100%
Proportional Hazards Model
12%
Risk Stratification
6%
Hemodynamic
6%
All Cause Mortality
6%
Cross-Validation
6%
Diagnosis
6%
Amino Terminal Sequence
6%
Logistic Regression Analysis
6%
Percutaneous Coronary Intervention
6%
Brain Natriuretic Peptide
6%
Neuroscience
Neural Network
100%
Amino Terminal Sequence
25%
Support Vector Machine
25%
Brain Natriuretic Peptide
25%
Pharmacology, Toxicology and Pharmaceutical Science
Congestive Heart Failure
100%
All Cause Mortality
6%
Cross-Validation
6%
Brain Natriuretic Peptide
6%