HealthCatalyst/healthcareai-py
Python tools for healthcare machine learning
This tool helps healthcare professionals and analysts build and deploy machine learning models quickly using their existing healthcare data. You input your patient, operational, or clinical data from a database or CSV, and it outputs predictions back to your database, helping you forecast trends or identify risks. It's designed for data analysts or data scientists working within healthcare systems who need to operationalize predictive models without extensive custom coding.
330 stars. No commits in the last 6 months.
Use this if you are a healthcare data analyst who needs to build, evaluate, and deploy predictive models using tabular healthcare data directly to a database, without getting bogged down in low-level machine learning code.
Not ideal if you need highly customized, experimental machine learning models or are not working with tabular data that can be easily stored in a database.
Stars
330
Forks
192
Language
Python
License
MIT
Category
Last pushed
Apr 16, 2019
Commits (30d)
0
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