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healthcare

hugo-assembly

Assembly - a hugo theme

i2b2_evaluation_scripts

Repository for managing python tools that model standoff annotations for i2b2 2014 challenge

icd

Tools for working with icd codes and comorbidities

imaging-research

keyboard-sounds

Build model to predict what key was pressed based on audio recording

lcp_glucose

lightwave

LightWAVE is a lightweight waveform and annotation viewer and editor.

machine-learning-neural-python

Introduction to artificial neural nets with Python

machine-learning-neural-python-old

Introduction to artificial neural nets with Python

machine-learning-novice-python

Introduction to Machine Learning with Python

machine-learning-responsible-python

Introduction to responsible machine learning with Python

machine-learning-responsible-python-old

Responsible Machine Learning with Python

machine-learning-trees-python

Introduction to tree models with Python

machine-learning-trees-python-old

Introduction to tree models with Python

markdown-cv

Simple Markdown CV / Resume

medical-standard-voc-translator

Copy of Xavi's project for mapping between OMOP concepts

medicationcategories

Quick script to parse out medications from discharge summaries in MIMIC format. Not that this approach uses minimal NLP, and can be vatly improved.

meds_etl

A collection of ETLs from common data formats to Event Stream Data Standard

mimic-cookbook

Cookbook of sql scripts for MIMIC-II

mimic-iii-vm

Download and load MIMIC-III into a PostgreSQL DB on an Ubuntu VM

mimic-iv

Code and discussion around the MIMIC-IV database

mimic-website

Website for the MIMIC Critical Care Database (currently version MIMIC-III)

mini-conf

Run a conference from your backyard.

mlhc19mit.github.io

Archived class website for MLHC @ MIT Sp. 2019

modality

Statistical tests for evaluating unimodality

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

ojs

Open Journal Systems

omop-learn

Python package for machine learning for healthcare using a OMOP common data model

opensafely-risk-factors-research

This is the code and configuration for our paper, OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients