Application
- Name
- msp-tracker
- Type
- Custom App
- URL
- https://msp-tracker.serve.scilifelab.se
- Source Code
- https://github.com/caramba-uu/MSP-tracker
- Image
- akshaips7/msptracker:v2025
- Created
- 23 Jan, 2024
- Updated
- 19 Jun, 2025
- Tags
- "conformal prediction", ai, ehr, ml, multiple_sclerosis
This predictive model distinguishes between Relapsing-Remitting Multiple Sclerosis (RRMS) and Secondary Progressive Multiple Sclerosis (SPMS) using electronic health records collected at each hospital visit, with a focus on identifying transitions from RRMS to SPMS. It incorporates Conformal Prediction (CP) to quantify uncertainty and integrates Explainable AI (SHAP) to interpret the contribution of individual features to the predictions. The tool is in an anonymized form for research purposes.
Software
- Type
- Cloud Application
- Operating System
- Kubernetes
- Version
- ghcr.io/scilifelabdatacentre/serve-charts/custom-app:1.1.3
Resource
Project
- Name
- Web-MSPredict
- Created
- 23 Jan, 2024
A tool for predicting disease course in Multiple Sclerosis using clinical data.
Owner
Akshai Parakkal Sreenivasan
akshai.parakkal.sreenivasan@medsci.uu.se
Department of Medical Sciences, Clinical Chemistry
Uppsala universitet (Uppsala University)
