clips/accumulate
Software created within Accumulate project (www.accumulate.be) at CLiPS, University of Antwerp
This collection of software helps clinical researchers and healthcare professionals analyze unstructured text from patient records and medical literature. It takes raw clinical notes, reports, and case studies, then corrects spelling, extracts key medical concepts, disambiguates terminology, identifies relationships between medical events, and learns patient characteristics. The output provides structured insights like linked medical terms, symptom severity, and patient representations, useful for research or clinical decision support.
No commits in the last 6 months.
Use this if you need to extract and understand complex medical information from large volumes of clinical text data to support research, improve patient care, or develop new clinical tools.
Not ideal if you are working with structured medical data, require real-time patient monitoring, or your primary goal is not natural language processing of clinical text.
Stars
8
Forks
3
Language
—
License
—
Category
Last pushed
Nov 22, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/clips/accumulate"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
winkjs/wink-nlp
Developer friendly Natural Language Processing ✨
LSYS/LexicalRichness
:smile_cat: :speech_balloon: A module to compute textual lexical richness (aka lexical diversity).
mbejda/Node-OpenNLP
Apache OpenNLP wrapper for Nodejs
LanguageMachines/frog
Frog is an integration of memory-based natural language processing (NLP) modules developed for...
winkjs/wink-nlp-utils
NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic...