OJules/Uncertainty-Quantification-for-Pediatric-Brain-Cancer-Prognosis
This project investigates uncertainty quantification (UQ) methods for machine learning models in medical prognosis, specifically focusing on pediatric brain cancer (glioblastoma and astrocytoma) survival prediction.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Last pushed
Dec 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/OJules/Uncertainty-Quantification-for-Pediatric-Brain-Cancer-Prognosis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and...
google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
nielstron/quantulum3
Library for unit extraction - fork of quantulum for python3
IBM/UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you...
aamini/evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!