Search Results for author:
Found 3 papers, 1 papers with code
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning
In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improvement in functional abilities.
Large Language Models Vote: Prompting for Rare Disease Identification
This method achieves improved results to any one model in the ensemble on one-shot rare disease identification and classification tasks.
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
Objective: This study aims to develop and evaluate a variety of NLP algorithms to extract and categorize physical rehabilitation exercise information from the clinical notes of post-stroke patients treated at the University of Pittsburgh Medical Center.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
