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random-survival-forest

Here are 4 public repositories matching this topic...

sunnyadn / comprisk

Python toolkit for competing risks: forest (RSF) today; Fine-Gray + Aalen-Johansen + Gray's test + cause-specific Cox in v0.4. Scales to n=10⁶ in ~1 min, 10–22× faster than randomForestSRC on real EHR data, sklearn-compatible.

python machine-learning random-forest scikit-learn biostatistics survival-analysis numba competing-risks random-survival-forest

Updated May 6, 2026
Python

Dr-Sushant / oncology-survival-modeling

Oncology survival modeling pipeline integrating simulated clinical trial data and SEER real-world registry data using Cox models, Random Survival Forest, and XGBoost.

python machine-learning r biostatistics survival-analysis clinical-trials cox-regression oncology random-survival-forest

Updated Mar 14, 2026
Jupyter Notebook

DongsooJung / credit-survival-analysis

Survival models and ML for Korean corporate credit risk assessment

python finance machine-learning survival-analysis cox-model credit-risk random-survival-forest

Updated Apr 26, 2026
Python

efazHossain / clinical-survival-analysis

Breast cancer survival analysis using Kaplan-Meier curves, Cox proportional hazards models, and Random Survival Forests.

python data-science machine-learning survival-analysis kaplan-meier cox-model lifelines healthcare-analytics scikit-survival random-survival-forest

Updated May 6, 2026
Jupyter Notebook

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