Search Results for author:
Found 2 papers, 1 papers with code
Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery
To demonstrate the effectiveness of ML in identifying candidates at risk of failed non-union healing, we applied three ML models (logistic regression, support vector machine, and XGBoost) to the clinical dataset TRUFFLE, which includes 797 patients with long bone non-union.
Time Series Classification for Detecting Parkinson's Disease from Wrist Motions
Parkinson's disease (PD) is a neurodegenerative condition characterized by frequently changing motor symptoms, necessitating continuous symptom monitoring for more targeted treatment.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
