53 citations · 85 across the 9 of their papers we have counts for
9 papers
General Demographic Pre-trained Models for Enhancing Predictive Performance Across Diseases and Population
Li-Chin Chen, Ji-Tian Sheu, Yuh-Jue Chuang
Foundation models for healthcare require balancing robust generalization across heterogeneous clinical populations and disease settings with the architectural simplicity needed for…
Lightly Weighted Automatic Audio Parameter Extraction for the Quality Assessment of Consensus Auditory-Perceptual Evaluation of Voice
Yi-Heng Lin, Wen-Hsuan Tseng, Li-Chin Chen +2
The Consensus Auditory-Perceptual Evaluation of Voice is a widely employed tool in clinical voice quality assessment that is significant for streaming communication among clinical…
Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula
Li-Chin Chen, Yi-Heng Lin, Li-Ning Peng +5
Clinical guidelines underscore the importance of regularly monitoring and surveilling arteriovenous fistula (AVF) access in hemodialysis patients to promptly detect any dysfunction…
Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning
Li-Chin Chen, Jung-Nien Lai, Hung-En Lin +3
Low back pain (LBP) and sciatica may require surgical therapy when they are symptomatic of severe pain. However, there is no effective measures to evaluate the surgical outcomes in…
Self-supervised learning-based general laboratory progress pretrained model for cardiovascular event detection
Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng +4
The inherent nature of patient data poses several challenges. Prevalent cases amass substantial longitudinal data owing to their patient volume and consistent follow-ups, however,…
EPG2S: Speech Generation and Speech Enhancement based on Electropalatography and Audio Signals using Multimodal Learning
Li-Chin Chen, Po-Hsun Chen, Richard Tzong-Han Tsai +1
Speech generation and enhancement based on articulatory movements facilitate communication when the scope of verbal communication is absent, e.g., in patients who have lost the abi…
Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks
Li-Chin Chen, Ji-Tian Sheu, Yuh-Jue Chuang +1
Objective: Improving geographical access remains a key issue in determining the sufficiency of regional medical resources during health policy design. However, patient choices can…
Blind Monaural Source Separation on Heart and Lung Sounds Based on Periodic-Coded Deep Autoencoder
Kun-Hsi Tsai, Wei-Chien Wang, Chui-Hsuan Cheng +6
Auscultation is the most efficient way to diagnose cardiovascular and respiratory diseases. To reach accurate diagnoses, a device must be able to recognize heart and lung sounds fr…
Using Deep Learning and Explainable Artificial Intelligence in Patients' Choices of Hospital Levels
Lichin Chen, Yu Tsao, Ji-Tian Sheu
In countries that enabled patients to choose their own providers, a common problem is that the patients did not make rational decisions, and hence, fail to use healthcare resources…