Publications by authors named "Chun-Hung Richard Lin"

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Long-term air pollution exposure and mortality outcomes in colorectal cancer patients: Evidence from a multicenter longitudinal study.
Chih-Wen Wang, Pinpin Lin, Yu-Cheng Chen, Yueh-Hsia Luo, Chih-Da Wu, Chun-Hung Richard Lin

Cancer Epidemiol· December 2025

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Predicting Fetal Growth with Curve Fitting and Machine Learning.
Huan Zhang, Chuan-Sheng Hung, Chun-Hung Richard Lin, Hong-Ren Yu, You-Cheng Zheng

Bioengineering (Basel)· July 2025

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A Multi-Stage Framework for Kawasaki Disease Prediction Using Clustering-Based Undersampling and Synthetic Data Augmentation: Cross-Institutional Validation with Dual-Center Clinical Data in Taiwan.
Heng-Chih Huang, Chuan-Sheng Hung, Chun-Hung Richard Lin, Yi-Zhen Shie, Cheng-Han Yu

Bioengineering (Basel)· July 2025

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FADEL: Ensemble Learning Enhanced by Feature Augmentation and Discretization.
Chuan-Sheng Hung, Chun-Hung Richard Lin, Shi-Huang Chen, You-Cheng Zheng, Cheng-Han Yu

Bioengineering (Basel)· July 2025

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Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms.
I-Min Chiu, Po-Jung Wu, Huan Zhang, J Weston Hughes, Albert J Rogers, Chun-Hung Richard Lin

JACC Clin Electrophysiol· December 2024

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Enhancing generalization in a Kawasaki Disease prediction model using data augmentation: Cross-validation of patients from two major hospitals in Taiwan.
Chuan-Sheng Hung, Chun-Hung Richard Lin, Jain-Shing Liu, Shi-Huang Chen, Tsung-Chi Hung

PLoS One· December 2024

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Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.
Ting-Yu Hsu, Chi-Yung Cheng, I-Min Chiu, Chun-Hung Richard Lin, Fu-Jen Cheng

Clin Interv Aging· June 2024

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Development and validation of a deep learning pipeline to measure pericardial effusion in echocardiography.
Chi-Yung Cheng, Cheng-Ching Wu, Huang-Chung Chen, Chun-Hui Hung, Tien-Yu Chen, Chun-Hung Richard Lin

Front Cardiovasc Med· August 2023

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Explainable deep learning model to predict invasive bacterial infection in febrile young infants: A retrospective study.
Ying Yang, Yi-Min Wang, Chun-Hung Richard Lin, Chi-Yung Cheng, Chi-Ming Tsai

Int J Med Inform· April 2023

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Use of Machine Learning to Differentiate Children With Kawasaki Disease From Other Febrile Children in a Pediatric Emergency Department.
Chih-Min Tsai, Chun-Hung Richard Lin, Ho-Chang Kuo, Fu-Jen Cheng, Hong-Ren Yu

JAMA Netw Open· April 2023

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Using Machine Learning for the Risk Factors Classification of Glycemic Control in Type 2 Diabetes Mellitus.
Yi-Ling Cheng, Ying-Ru Wu, Kun-Der Lin, Chun-Hung Richard Lin, I-Mei Lin

Healthcare (Basel)· April 2023

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Use of a Deep-Learning Algorithm to Guide Novices in Performing Focused Assessment With Sonography in Trauma.
I-Min Chiu, Chun-Hung Richard Lin, Fei-Fei Flora Yau, Fu-Jen Cheng, Hsiu-Yung Pan, Xin-Hong Lin

JAMA Netw Open· March 2023

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Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach.
I-Min Chiu, Jhu-Yin Cheng, Tien-Yu Chen, Yi-Min Wang, Chi-Yung Cheng, Chun-Hung Richard Lin

J Med Internet Res· December 2022

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Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring.
I-Min Chiu, Chi-Yung Cheng, Po-Kai Chang, Chao-Jui Li, Fu-Jen Cheng, Chun-Hung Richard Lin

Biosensors (Basel)· December 2022

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Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics.
Chi-Yung Cheng, Chia-Te Kung, Fu-Cheng Chen, I-Min Chiu, Chun-Hung Richard Lin

Front Med (Lausanne)· October 2022

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Impact of the synergistic effect of pneumonia and air pollutants on newly diagnosed pulmonary tuberculosis in southern Taiwan.
Da-Wei Wu, Yu-Cheng Cheng, Chih-Wen Wang, Chih-Hsing Hung, Pei-Shih Chen, Chun-Hung Richard Lin

Environ Res· September 2022

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Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory.
JainShing Liu, Chun-Hung Richard Lin, Yu-Chen Hu, Praveen Kumar Donta

Sensors (Basel)· March 2022

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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.
Chi-Yung Cheng, I-Min Chiu, Wun-Huei Zeng, Chih-Min Tsai, Chun-Hung Richard Lin

Biomed Res Int· January 2022

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Deep Learning Assisted Detection of Abdominal Free Fluid in Morison's Pouch During Focused Assessment With Sonography in Trauma.
Chi-Yung Cheng, I-Min Chiu, Ming-Ya Hsu, Hsiu-Yung Pan, Chih-Min Tsai, Chun-Hung Richard Lin

Front Med (Lausanne)· September 2021

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Risk of motor vehicle collisions after methadone use.
Ya-Hui Yang, Pei-Shan Ho, Trong-Neng Wu, Peng-Wei Wang, Chun-Hung Richard Lin

Elife· August 2021

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Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department.
I-Min Chiu, Chi-Yung Cheng, Wun-Huei Zeng, Ying-Hsien Huang, Chun-Hung Richard Lin

J Clin Med· April 2021

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Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy.
I-Min Chiu, Wun-Huei Zeng, Chi-Yung Cheng, Shih-Hsuan Chen, Chun-Hung Richard Lin

Diagnostics (Basel)· January 2021

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Risk factors for depression in patients with Parkinson's disease: A nationwide nested case-control study.
Yang-Pei Chang, Min-Sheng Lee, Da-Wei Wu, Jui-Hsiu Tsai, Pei-Shan Ho, Chun-Hung Richard Lin

PLoS One· September 2020

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A Multifactorial Evaluation of the Effects of Air Pollution and Meteorological Factors on Asthma Exacerbation.
Hong-Ren Yu, Chun-Hung Richard Lin, Jui-Hsiu Tsai, Yun-Ting Hsieh, Ti-An Tsai

Int J Environ Res Public Health· June 2020

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Using Machine Learning to Predict Bacteremia in Febrile Children Presented to the Emergency Department.
Chih-Min Tsai, Chun-Hung Richard Lin, Huan Zhang, I-Min Chiu, Chi-Yung Cheng

Diagnostics (Basel)· May 2020

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