Survival-Analysis Risk Model for an Oncology Decision-Support Pilot
Overview
What this challenge is about.
You receive a curated public colorectal cancer cohort (about 9,000 patients, demographics, stage, grade, comorbidities, baseline labs, censored survival times). Fit (1) a Cox proportional-hazards baseline, (2) a Random Survival Forest, (3) a discrete-time neural survival model. Evaluate with concordance index (Harrell's C) and calibration at 1 and 3 years (integrated Brier score and calibration curves). Report subgroup performance by sex. Deliver a 5-page tumor-board-ready brief.
The Brief
What you'll do, and what you'll demonstrate.
Build and clinically frame a survival-analysis risk model for colorectal-cancer 1-year and 3-year mortality suitable for tumor-board discussion.
Earning criteria — what you'll demonstrate
- Apply survival analysis methods to a real censored clinical dataset
- Evaluate survival models with concordance + integrated Brier score
- Frame model output for multidisciplinary clinical discussion
- Report subgroup performance honestly in a clinical setting
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
ML Researcher
Rigorous survival-analysis comparisons on real censored clinical data are the ML-researcher's signature portfolio piece for any oncology-AI team.
This challenge sharpens
- survival-analysis
- model-calibration
- ehr-modeling
Applied AI Scientist
Producing tumor-board-ready briefs alongside the technical evaluation is the applied-AI-scientist's daily craft at oncology decision-support startups.
This challenge sharpens
- risk-stratification
- model-evaluation
- model-calibration
Data Scientist
Honest subgroup reporting on a clinical model is exactly what senior data scientists are graded on in healthtech interviews.
This challenge sharpens
- survival-analysis
- model-evaluation
- ehr-modeling