All Projects → ClarityNLP → ClarityNLP

ClarityNLP / ClarityNLP

Licence: MPL-2.0 license
An NLP framework for clinical phenotyping. Docker | Python | Solr | OMOP. http://claritynlp.readthedocs.io/en/latest/

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language
CSS
56736 projects
C++
36643 projects - #6 most used programming language
C#
18002 projects
shell
77523 projects

Projects that are alternatives of or similar to ClarityNLP

Solrtexttagger
A text tagger based on Lucene / Solr, using FST technology
Stars: ✭ 162 (+62%)
Mutual labels:  solr
Conceptualsearch
Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
Stars: ✭ 245 (+145%)
Mutual labels:  solr
hedis-ig
HEDIS FHIR-based Quality Reporting
Stars: ✭ 24 (-76%)
Mutual labels:  clinical-quality-language
Query Translator
Query Translator is a search query translator with AST representation
Stars: ✭ 165 (+65%)
Mutual labels:  solr
Relevant Search Book
Code and Examples for Relevant Search
Stars: ✭ 231 (+131%)
Mutual labels:  solr
gluish
Utils around luigi.
Stars: ✭ 63 (-37%)
Mutual labels:  luigi
Spring Content
Cloud-Native Storage and Enterprise Content Services (ECMS) for Spring
Stars: ✭ 151 (+51%)
Mutual labels:  solr
solrdump
Export SOLR documents efficiently with cursors.
Stars: ✭ 33 (-67%)
Mutual labels:  solr
Typo3 Docker Boilerplate
🍲 TYPO3 Docker Boilerplate project (NGINX, Apache HTTPd, PHP-FPM, MySQL, Solr, Elasticsearch, Redis, FTP)
Stars: ✭ 240 (+140%)
Mutual labels:  solr
go-solr
Solr client in Go, core admin, add docs, update, delete, search and more
Stars: ✭ 67 (-33%)
Mutual labels:  solr
Open Semantic Etl
Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database
Stars: ✭ 165 (+65%)
Mutual labels:  solr
Extract
A cross-platform command line tool for parallelised content extraction and analysis.
Stars: ✭ 188 (+88%)
Mutual labels:  solr
chronological-map-phenotypes
Machine-readable version of electronic health record phenotypes for Kuan V. and Denaxas S. et al.
Stars: ✭ 38 (-62%)
Mutual labels:  phenotype
Code4java
Repository for my java projects.
Stars: ✭ 164 (+64%)
Mutual labels:  solr
goobi-viewer-core
Goobi viewer - Presentation software for digital libraries, museums, archives and galleries. Open Source.
Stars: ✭ 18 (-82%)
Mutual labels:  solr
Tis Solr
an enterprise search engine base on Apache Solr
Stars: ✭ 158 (+58%)
Mutual labels:  solr
Sola
Scene search On Liresolr for Animation. (and video)
Stars: ✭ 253 (+153%)
Mutual labels:  solr
feathers-solr
Feathersjs Solr Client
Stars: ✭ 29 (-71%)
Mutual labels:  solr
solwr
Apache Solr nodejs wrapper
Stars: ✭ 18 (-82%)
Mutual labels:  solr
query-segmenter
Solr Query Segmenter for structuring unstructured queries
Stars: ✭ 21 (-79%)
Mutual labels:  solr

ClarityNLP

Build Status

What is ClarityNLP?

ClarityNLP is a clinical natural language processing platform focused on making healthcare NLP more accessible and reproducible. Over the past decade, NLP methods have far outstripped our ability to use them effectively.

ClarityNLP combines NLP techniques and libraries with a powerful query language, NLPQL, to identify patients and their clinical observations, extracted from text. ClarityNLP gives you insights into clinical (and other) text without a lot of custom configuration, and NLPQL lets you write your own definitions to find the patients and features that are relevant to your project.

ClarityNLP dashboard

Full ClarityNLP Documentation

You can read the full ClarityNLP documentation here: Read the Docs.

Slack

Connect with us on Slack.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].