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Chung‐Feng Liu
Observed names:
CHUNG-FENG LIU,
Chung-Feng Liu
Institution:
Chi Mei Medical Center
Observed institutions:
National Chung Cheng University,
National Yang Ming Chiao Tung University,
Chi Mei Medical Center,
Chia Nan University of Pharmacy and Science
ORCID:
0000-0001-6698-0273
Observed ORCID:
0000-0001-6698-0273
OpenAlex ID:
A5108751951
Does AI explainability affect physicians’ intention to use AI?
2022
·
Chung-Feng Liu
, Zhih-Cherng Chen
, et al.
·
International Journal of Medical Informatics
·
112
Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain
2020
·
Pei-I Zhang
, Chien-Chin Hsu
, et al.
·
Scandinavian Journal of Trauma Resuscitation and Emergency Medicine
·
85
PDF
An artificial intelligence approach for predicting cardiotoxicity in breast cancer patients receiving anthracycline
2022
·
Wei-Ting Chang
, Chung-Feng Liu
, et al.
·
Archives of Toxicology
·
64
An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach
2022
·
Chung-Feng Liu
, Chao-Ming Hung
, et al.
·
Frontiers in Medicine
·
59
A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery
2021
·
Ying-Jen Chang
, Kuo-Chuan Hung
, et al.
·
International Journal of Environmental Research and Public Health
·
47
PDF
Development of an Interactive AI System for the Optimal Timing Prediction of Successful Weaning from Mechanical Ventilation for Patients in Respiratory Care Centers
2022
·
Kuang-Ming Liao
, Shian-Chin Ko
, et al.
·
Diagnostics
·
42
PDF
Implementation of a machine learning application in preoperative risk assessment for hip repair surgery
2022
·
Yu-Yu Li
, Jhi-Joung Wang
, et al.
·
BMC Anesthesiology
·
39
PDF
A Computer-Assisted System for Early Mortality Risk Prediction in Patients with Traumatic Brain Injury Using Artificial Intelligence Algorithms in Emergency Room Triage
2022
·
Kuan-Chi Tu
, Tee-Tau Eric Nyam
, et al.
·
Brain Sciences
·
38
PDF
Using an Artificial Intelligence Approach to Predict the Adverse Effects and Prognosis of Tuberculosis
2023
·
Kuang-Ming Liao
, Chung-Feng Liu
, et al.
·
Diagnostics
·
35
PDF
Predicting outcomes in older ED patients with influenza in real time using a big data-driven and machine learning approach to the hospital information system
2021
·
Tian-Hoe Tan
, Chien-Chin Hsu
, et al.
·
BMC Geriatrics
·
35
PDF
Real‐time interactive artificial intelligence of things–based prediction for adverse outcomes in adult patients with pneumonia in the emergency department
2021
·
You‐Ming Chen
, Yuan Kao
, et al.
·
Academic Emergency Medicine
·
34
Machine Learning Approaches for Predicting Acute Respiratory Failure, Ventilator Dependence, and Mortality in Chronic Obstructive Pulmonary Disease
2021
·
Kuang-Ming Liao
, Chung-Feng Liu
, et al.
·
Diagnostics
·
31
PDF
Design and Implementation of a Comprehensive AI Dashboard for Real-Time Prediction of Adverse Prognosis of ED Patients
2022
·
Wei-Chun Tsai
, Chung-Feng Liu
, et al.
·
Healthcare
·
30
PDF
The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center
2021
·
Chung-Feng Liu
, Chien-Cheng Huang
, et al.
·
Healthcare
·
29
PDF
Real‐time artificial intelligence predicts adverse outcomes in acute pancreatitis in the emergency department: Comparison with clinical decision rule
2023
·
Ching‐Hung Chang
, Chia‐Jung Chen
, et al.
·
Academic Emergency Medicine
·
24
PDF
Real-time artificial intelligence system for bacteremia prediction in adult febrile emergency department patients
2023
·
Wei-Chun Tsai
, Chung-Feng Liu
, et al.
·
International Journal of Medical Informatics
·
23
Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time
2023
·
Chin-Chuan Hsu
, Yuan Kao
, et al.
·
BMC Endocrine Disorders
·
22
PDF
Implementing AI Models for Prognostic Predictions in High-Risk Burn Patients
2023
·
Chin-Choon Yeh
, Yu-San Lin
, et al.
·
Diagnostics
·
22
PDF
Machine Learning Algorithm Predicts Mortality Risk in Intensive Care Unit for Patients with Traumatic Brain Injury
2023
·
Kuan-Chi Tu
, Eric nyam tee Tau
, et al.
·
Diagnostics
·
21
PDF
Exploring Nursing E-Learning Systems Success Based on Information System Success Model
2011
·
HUI-CHUAN CHANG
, CHUNG-FENG LIU
, et al.
·
CIN Computers Informatics Nursing
·
21
A Study of Career Anchors and Job Characteristic Preferences of is Students
2007
·
I-Chiu Chang
, Hsin-Ginn Hwang
, et al.
·
Journal of Computer Information Systems
·
21
Personalized prediction of intradialytic hypotension in clinical practice: Development and evaluation of a novel AI dashboard incorporating risk factors from previous and current dialysis sessions
2024
·
I-Ning Yang
, Chung-Feng Liu
, et al.
·
International Journal of Medical Informatics
·
20
Implementing a Novel Machine Learning System for Nutrition Education in Diabetes Mellitus Nutritional Clinic: Predicting 1-Year Blood Glucose Control
2023
·
Mei-Yuan Liu
, Chung-Feng Liu
, et al.
·
Bioengineering
·
19
PDF
Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN)
2021
·
Shu-Farn Tey
, Chung-Feng Liu
, et al.
·
International Journal of Environmental Research and Public Health
·
19
PDF
Enhancing Healthcare Efficiency: Integrating ChatGPT in Nursing Documentation
2024
·
Chia-Jung Chen
, Chia-Te Liao
, et al.
·
Studies in health technology and informatics
·
17
PDF
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Works count:
61
Citation count:
1,053
H-index:
21
I10-index:
33
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