58 citations · 61 across the 5 of their papers we have counts for
5 papers
RegScore: Scoring Systems for Regression Tasks
Michal K. Grzeszczyk, Tomasz Szczepański, Pawel Renc +4
Scoring systems are widely adopted in medical applications for their inherent simplicity and transparency, particularly for classification tasks involving tabular data. In this wor…
Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment
Pawel Renc, Michal K. Grzeszczyk, Linglong Qian +3
We present Federated Timeline Synthesis (FTS), a novel framework for training generative foundation models across distributed timeseries data applied to electronic health records (…
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
Pawel Renc, Michal K. Grzeszczyk, Nassim Oufattole +9
Hospitals struggle to predict critical outcomes. Traditional early warning systems, like NEWS and MEWS, rely on static variables and fixed thresholds, limiting their adaptability,…
Zero Shot Health Trajectory Prediction Using Transformer
Pawel Renc, Yugang Jia, Anthony E. Samir +4
Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare's increasing cost and complexity. We introduce the Enhanced Transformer…
EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia
Paweł Renc, Patryk Orzechowski, Aleksander Byrski +2
Biclustering is a data mining technique which searches for local patterns in numeric tabular data with main application in bioinformatics. This technique has shown promise in multi…