Data Science & Analytics
Bio Machine Learning Survival Analysis
name: bio-machine-learning-survival-analysis description: Analyzes time-to-event data using Kaplan-Meier curves, log-rank tests, and Cox proportional hazards regression with lifelines. Builds survival models from clinical and omics features. Use when predicting patient survival or modeling time-to-event outcomes. tool_type: python primary_tool: lifelines measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- Publisher / source
- FreedomIntelligence/OpenClaw-Medical-Skills (found on GitHub top repositories)
- Upstream record
- FreedomIntelligence/OpenClaw-Medical-Skills
- Version
- Not recorded
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-07
- Content fingerprint
da9a6e434e362e5fb39cf1273ec4bb07973572958979f1a983edee7b13e7cf7c