vanderschaarlab/temporai
TemporAI: ML-centric Toolkit for Medical Time Series
This toolkit helps medical researchers and clinicians analyze complex health data that changes over time, like patient vital signs or treatment responses. You input raw medical time-series data, and it provides insights such as predicted patient outcomes (e.g., survival risk), estimated effects of different treatments, or forecasts of future patient states. It is designed for healthcare professionals, data scientists in clinical research, or anyone working with longitudinal medical records who needs to apply advanced machine learning.
130 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are analyzing medical time-series data and need to predict patient survival, understand the impact of treatments over time, or forecast future health outcomes, especially when dealing with missing data.
Not ideal if your primary focus is on non-medical time-series data or if you require highly stable APIs for production systems, as this project is currently in an alpha stage.
Stars
130
Forks
24
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 14, 2023
Commits (30d)
0
Dependencies
28
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