havakv/pycox
Survival analysis with PyTorch
This tool helps researchers, clinicians, and data scientists predict the time until an event occurs, such as disease recurrence, customer churn, or machine failure. You provide data including individual characteristics and observed event times, and it outputs models that estimate the probability of the event happening over time. It's designed for anyone working with 'time-to-event' data who needs to forecast when things will happen.
961 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need to build advanced, machine learning-based models to predict how long subjects or items will last before a specific event occurs, using various survival analysis techniques.
Not ideal if you prefer traditional statistical software or simpler, non-machine learning methods for survival analysis.
Stars
961
Forks
207
Language
Python
License
BSD-2-Clause
Category
Last pushed
Sep 04, 2024
Commits (30d)
0
Dependencies
7
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/havakv/pycox"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
sebp/scikit-survival
Survival analysis built on top of scikit-learn
Novartis/torchsurv
Deep survival analysis made easy
soda-inria/hazardous
Competing Risks and Survival Analysis
square/pysurvival
Open source package for Survival Analysis modeling
autonlab/auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation...