OpenMRS API and web application code

Core OpenMRS modules for Bahmni (including ERP & ELIS Atom Feed Clients)

Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.

Fork of OpenELIS for managing Lab workflows (Tests, Results, Samples, etc).

Mapreduce project by Hadoop, Nutch, AWS EMR, Pig, Tez, Hive

Elexis 3 Base Repository

Open-source Electronic Medical Records (EMR) for Canadian healthcare — HL7, FHIR, Java 21, Spring 5. Contributors welcome!

One Ring is a framework to unify, unite and bind Apache Spark-based computing modules, and run them in parametrized chains

Camel routes that integrate OpenMRS and SENAITE.

Deployment/Orchestration of Apache Spark applications on Amazon EMR.

Example source code accompanying O'Reilly's "Programming Elastic MapReduce: Using AWS services to build an end-to-end application" by Christopher Phillips and Kevin Schmidt

An Annotation Tool Designed for Health Unstructured Data (标注工具)

ZEPRS EMR

OpenPCM Server

Camel routes that integrate OpenELIS Global and OpenMRS

A map-reduce implementation in Apache Hadoop (AWS EMR) for calculating the probabilities of trigrams in the Hebrew language. This project utilizes the deleted estimation two-way cross validation method to calculate trigram probabilities. The Google Hebrew Trigram database serves as this project's corpus.

In this project, we try to reproduce the paper 'Comparing Measures of Semantic Similarity' by Nikola Ljubešić et al. which aims at comparing different methods for automatic extraction of semantic similarity mesaures from a corpus.

A set of openmrs-eip routes to sync OpenMRS clinical data over a network of instances.

Built a distributed system which completes several objectives with given data to generate loan reports using Amazon Web Services, Apache Spark, Java and Python.

A map-reduce implementation in Apache Hadoop (AWS EMR) for calculating the probabilities of trigrams in the Hebrew language. This project utilizes the deleted estimation two-way cross validation method to calculate trigram probabilities. The Google Hebrew Trigram database serves as this project's corpus.