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Greater Paris University Hospitals (AP-HP) 's Projects

cohort360 icon cohort360

A web application to find patients, build cohorts and visualize health records

confit icon confit

Confit is a complete and easy-to-use configuration framework aimed at improving the reproducibility of experiments by relying on the Python type annotations, minimal configuration files and a robust CLI.

eds-pseudo icon eds-pseudo

EDS-Pseudo is a hybrid model for detecting personally identifying entities in clinical reports

eds-scikit icon eds-scikit

eds-scikit is a Python library providing tools to process and analyse OMOP data

edsnlp icon edsnlp

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

edspdf icon edspdf

EDS-PDF is a generic, pure-Python framework for text extraction from PDF documents. It provides the machinery to use rule- or machine-learning-based approaches to classify text blocs between body and meta-data.

edsteva icon edsteva

EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.

edstuto icon edstuto

A variety of tutorials introducing some issues related to the analysis of health real world data available for researchers in clinical data warehouses.

foldedtensor icon foldedtensor

PyTorch extension for handling deeply nested sequences of variable length

heemod icon heemod

Markov Models for Health Economic Evaluations

rgho icon rgho

:globe_with_meridians:Access WHO Global Health Observatory Data From R

spacy icon spacy

💫 Industrial-strength Natural Language Processing (NLP) in Python

sphere icon sphere

A research PACS Solution adapted to Big Data Plateform

thinc icon thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

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