medkit-lib/medkit
Toolkit for a learning health system
This toolkit helps healthcare researchers and data scientists extract meaningful information from various types of patient data, such as medical notes, audio recordings, or structured health records. You can input raw healthcare data and build models to identify specific features or support clinical decisions. It's designed for professionals developing AI solutions for healthcare.
Use this if you need to process diverse healthcare data to develop AI models for tasks like disease prediction or automated diagnosis.
Not ideal if you are looking for a ready-to-use clinical application or a tool for general data analysis outside of a research and development context.
Stars
27
Forks
13
Language
Python
License
MIT
Category
Last pushed
Jan 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/medkit-lib/medkit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Georgetown-IR-Lab/QuickUMLS
System for Medical Concept Extraction and Linking
apache/ctakes
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
CogStack/MedCAT
Medical Concept Annotation Tool
CogStack/MedCATtrainer
A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.
OHNLP/MedTagger
MedTagger is a light weight clinical NLP system built upon Apache UIMA.