Concept Extraction from medical discharge summaries
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Updated
May 10, 2015 - Java
Concept Extraction from medical discharge summaries
A Randomized Study of Cotrimoxazole Prophylaxis and Longer Breastfeeding Duration to Improve Survival Among HIV-Exposed Infants in Botswana (P.I. Roger Shapiro) [NCT01229761]
Lightweight framework to quickly build Web and portable desktop applications to collect, analyze and explore data for Clinical Trials.
A deep learning framwork for lung cancer prediction
WIP & POC: Count Viral and other non-human genome signatures in Human NGS data
Data science resources
A light-weighted data management system for translational research
Meta-analysis of uterine fibroids treatment outcomes
Trial Φ Protocol 🌻 🐚 -- 90% of clinical trial source documentation is still captured on paper. Let's fix this with a blockchain that empowers the research participants.
(P.I. Scott Dryden-Peterson) BHP045, Botswana Prospective Cancer Cohort
Deploy a Django app as a client on a laptop that is offline and securely sync the data with your server when you get back online.
(P.I. Joe Jarvis) Subject models and views for Ambition
This desktop application is being developed for use by clinical research coordinators to manage multiple research study components such as Institutional Review Board due dates, patient accrual, and study personnel.
Official repository for the NYU Langone Health Comprehensive Program on Obesity machine learning research.
(P.I. Jennifer Jao)
Clinical Note Processing Pipeline Driver and Framework
Dataset for Coherent Topic Segmentation and Classification
Severity-focused biomedical concept normalization in Python
Deploy a Django app as a client on a laptop that is offline and securely sync the data with your server when you get back online.
Add a description, image, and links to the clinical-research topic page so that developers can more easily learn about it.
To associate your repository with the clinical-research topic, visit your repo's landing page and select "manage topics."