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Survival-Analysis Risk Model for an Oncology Decision-Support Pilot

FreeVerified credential3 weeksExpert

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.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

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

One more thing

You can put a credential on your CV by Friday.