iuliivasilev/dev-survivors
Stay Alive. A Reliable and Interpretable Survival Analysis Library
This helps scientists and analysts predict when an event will occur, like patient discharge or equipment failure, even with incomplete or messy data. You feed it historical event data, and it outputs reliable predictions about future events and clear explanations of the factors involved. Anyone in healthcare, industrial maintenance, or business analytics who needs to understand 'time-to-event' predictions would use this.
Use this if you need accurate and understandable predictions about when an event will happen, especially when your data is noisy or has missing information.
Not ideal if your primary need is simple 'yes/no' classification rather than predicting time until an event occurs.
Stars
36
Forks
2
Language
Python
License
BSD-3-Clause
Category
Last pushed
Feb 02, 2026
Commits (30d)
0
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