Open-Awesome
CategoriesAlternativesStacksSelf-HostedExplore
Open-Awesome

© 2026 Open-Awesome. Curated for the developer elite.

TermsPrivacyAboutGitHubRSS
  1. Home
  2. Biomedical Information Extraction
  3. DeepPhe

DeepPhe

Apache-2.0xn0.7.1

A natural language processing system that extracts and summarizes cancer phenotype information from clinical text documents.

GitHubGitHub
30 stars11 forks0 contributors

Overview

Public release of the DeepPhe analytic software

Quick Stats

Stars30
Forks11
Contributors0
Open Issues0
Last commit1 month ago
CreatedSince 2017

Tags

#clinical-data#medical-informatics#healthcare-analytics#clinical-nlp#cancer-research#neo4j

Built With

N
Neo4j

Included in

Biomedical Information Extraction425
Auto-fetched 1 day ago

Related Projects

SemEHRSemEHR

Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research

Stars90
Forks22
Last commit3 years ago
PubrunnerPubrunner

A framework for keeping biomedical text mining result up-to-date

Stars42
Forks6
Last commit6 years ago
TabInOutTabInOut

Framework for information extraction from tables

Stars41
Forks10
Last commit7 years ago
PubTator CentralPubTator Central

paper - A web platform that identifies five different types of biomedical concepts in PubMed articles and PubMed Central full texts. The full annotation sets are downloadable (see Annotated Text Data below)

Stars0
Forks0
Last commit
Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a projectStar on GitHub