Wen‐Chen Lin
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Author Swipe
View article: Combination of Large Language Model and Retrieval-augmented Generation for Inference of Traditional Chinese Medicine Prescriptions and Syndrome Differentiations: A Study on Sleeping Disorders
Combination of Large Language Model and Retrieval-augmented Generation for Inference of Traditional Chinese Medicine Prescriptions and Syndrome Differentiations: A Study on Sleeping Disorders Open
Propose The objective of this study was to combine a large language model (LLM) with retrieval-augmented generation (RAG) to develop a tool for syndrome type determination and a medical prescription inference model for sleep disorders in a…
View article: Validation and Reliability of 12-Lead Electrocardiogram Measuring Through Two-Electrode Located at Left Upper Arm in Healthy Subjects
Validation and Reliability of 12-Lead Electrocardiogram Measuring Through Two-Electrode Located at Left Upper Arm in Healthy Subjects Open
View article: Prediction of clinical deterioration risk at 8 hours after arrival in emergency department in non‐traumatic patients using trends in modified early warning score level
Prediction of clinical deterioration risk at 8 hours after arrival in emergency department in non‐traumatic patients using trends in modified early warning score level Open
Background Improving the quality of medical care in hospitals is a major priority for all departments. The early warning score (EWS) trend is an effective early risk stratification tool that reflects the changes in patient condition and al…
View article: Forrest Classification for Bleeding Peptic Ulcer: A New Look at the Old Endoscopic Classification
Forrest Classification for Bleeding Peptic Ulcer: A New Look at the Old Endoscopic Classification Open
The management of peptic ulcer bleeding is clinically challenging. For decades, the Forrest classification has been used for risk stratification for nonvariceal ulcer bleeding. The perception and interpretation of the Forrest classificatio…
View article: Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature
Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature Open
With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the clinician experience of managing patients with PUB has also declined, especially for young endoscopists. A patient with PUB management requires col…
View article: Performance Comparison of the Deep Learning and the Human Endoscopist for Bleeding Peptic Ulcer Disease
Performance Comparison of the Deep Learning and the Human Endoscopist for Bleeding Peptic Ulcer Disease Open
Purpose Management of peptic ulcer bleeding is clinically challenging. Accurate characterization of the bleeding during endoscopy is key for endoscopic therapy. This study aimed to assess whether a deep learning model can aid in the classi…
View article: Evaluation of Coherence Between ECG and PPG Derived Parameters on Heart Rate Variability and Respiration in Healthy Volunteers With/Without Controlled Breathing
Evaluation of Coherence Between ECG and PPG Derived Parameters on Heart Rate Variability and Respiration in Healthy Volunteers With/Without Controlled Breathing Open
Photoplethysmography (PPG) is used as a surrogate of electrocardiograms (ECG) for heart rate variability (HRV) analysis or respiratory rate monitoring. PPG is a more convenient way to measure HRV than ECG at rest, since respiration could b…
View article: Weighted Polynomial Approximation for Automated Detection of Inspiratory Flow Limitation
Weighted Polynomial Approximation for Automated Detection of Inspiratory Flow Limitation Open
Inspiratory flow limitation (IFL) is a critical symptom of sleep breathing disorders. A characteristic flattened flow-time curve indicates the presence of highest resistance flow limitation. This study involved investigating a real-time al…