Chung-Feng Liu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 16

Top Topics

Traumatic Brain Injury

Convolutional Neural Network

Machine Learning

Low Birth Weight

Top Venues

Diagnostics (Basel, Switzerland)

JMIR medical informatics

Bioengineering (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Jiun-Yi Hsia, Chi-Chang Chang, Chung-Feng Liu, Chia-Lin Chou, Ching-Chieh Yang
Longitudinal Risk Analysis of Second Primary Cancer after Curative Treatment in Patients with Rectal Cancer. Diagnostics (Basel, Switzerland) 14 (13) (2024)
Lin-Yu Wang, Lin-Yen Wang, Mei-I Sung, I-Chun Lin, Chung-Feng Liu, Chia-Jung Chen
Implementing Explainable Machine Learning Models for Practical Prediction of Early Neonatal Hypoglycemia. Diagnostics (Basel, Switzerland) 14 (14) (2024)
Lin-Yu Wang, Lin-Yen Wang, Mei-I Sung, I-Chun Lin, Chung-Feng Liu, Chia-Jung Chen
Implementing Explainable Machine Learning Models for Practical Prediction of Early Neonatal Hypoglycemia. Diagnostics (Basel, Switzerland) 14 (14) (2024)
Lin-Yu Wang, Lin-Yen Wang, Mei-I Sung, I-Chun Lin, Chung-Feng Liu, Chia-Jung Chen
Implementing Explainable Machine Learning Models for Practical Prediction of Early Neonatal Hypoglycemia. Diagnostics (Basel, Switzerland) 14 (14) (2024)
Jiun-Yi Hsia, Chi-Chang Chang, Chung-Feng Liu, Chia-Lin Chou, Ching-Chieh Yang
Longitudinal Risk Analysis of Second Primary Cancer after Curative Treatment in Patients with Rectal Cancer. Diagnostics (Basel, Switzerland) 14 (13) (2024)
Yu-Shao Chen, Chung-Feng Liu, Mei-I Sung, Shio-Jean Lin, Wen-Hui Tsai
Machine Learning Approach for Prediction of the Test Results of Gonadotropin-Releasing Hormone Stimulation: Model Building and Implementation. Diagnostics (Basel, Switzerland) 13 (9) (2023)
Kung-Hsun Weng, Chung-Feng Liu, Chung-Feng Liu
Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study. JMIR medical informatics 11 (2023)
Kung-Hsun Weng, Chung-Feng Liu, Chung-Feng Liu
Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study. JMIR medical informatics 11 (2023)
Kuang-Ming Liao, Chung-Feng Liu, Chia-Jung Chen, Jia-Yih Feng, Chin-Chung Shu, Yu-Shan Ma
Using an Artificial Intelligence Approach to Predict the Adverse Effects and Prognosis of Tuberculosis. Diagnostics (Basel, Switzerland) 13 (6) (2023)
Kung-Hsun Weng, Chung-Feng Liu, Chung-Feng Liu
Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study. JMIR medical informatics 11 (2023)
Kuan-Chi Tu, Eric Nyam Tee Tau, Nai-Ching Chen, Ming-Chuan Chang, Tzu-Chieh Yu, Che-Chuan Wang, Chung-Feng Liu, Ching-Lung Kuo
Machine Learning Algorithm Predicts Mortality Risk in Intensive Care Unit for Patients with Traumatic Brain Injury. Diagnostics (Basel, Switzerland) 13 (18) (2023)
Mei-Yuan Liu, Chung-Feng Liu, Tzu-Chi Lin, Yu-Shan Ma
Implementing a Novel Machine Learning System for Nutrition Education in Diabetes Mellitus Nutritional Clinic: Predicting 1-Year Blood Glucose Control. Bioengineering (Basel, Switzerland) 10 (10) (2023)
Yu-Shao Chen, Chung-Feng Liu, Mei-I Sung, Shio-Jean Lin, Wen-Hui Tsai
Machine Learning Approach for Prediction of the Test Results of Gonadotropin-Releasing Hormone Stimulation: Model Building and Implementation. Diagnostics (Basel, Switzerland) 13 (9) (2023)
Kung-Hsun Weng, Chung-Feng Liu, Chung-Feng Liu
Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study. JMIR medical informatics 11 (2023)
Kuang-Ming Liao, Chung-Feng Liu, Chia-Jung Chen, Jia-Yih Feng, Chin-Chung Shu, Yu-Shan Ma
Using an Artificial Intelligence Approach to Predict the Adverse Effects and Prognosis of Tuberculosis. Diagnostics (Basel, Switzerland) 13 (6) (2023)
Chin-Choon Yeh, Yu-San Lin, Chun-Chia Chen, Chung-Feng Liu
Implementing AI Models for Prognostic Predictions in High-Risk Burn Patients. Diagnostics (Basel, Switzerland) 13 (18) (2023)