cosgriffc Goto Github PK

academic-kickstart

Easily create a beautiful website using Academic and Hugo

animegan2-pytorch

PyTorch implementation of AnimeGANv2

ardsphenotypes

bayes-rct

Notebook for applying Bayesian methods to the analysis of RCT results.

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bst227

bst260.final

Final project for BST 260

bst261-crrt

Predicting mortality in the CRRT cohort of MIMIC-III.

bst262-hw2

Homework #2 for BST.262 Computing with Big Data at Harvard Chan School Spring 2018

bsts262-proj1

Intro to making your own packages for R.

calibrating-severity

We sought to examine the effect of constraining the training data case mix on the performance of mortality forecasting for high-risk patients.

chime_sims

Simulate from prior distributions of parameters, assess goodness of fit to recently-observed data, then keep the ones that fit well, then see what they imply for future trajectories.

coronavirus-dataset

[CSV] Dataset of CoronaVirus disease 2019 (COVID-19) in South Korea (from KCDC)

cosgriffc.github.io

covid-19

COVID-19 Italia - Monitoraggio situazione

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

critical-data

Website for critical-data

eicu-code

Code shared by the research community for the eICU Collaborative Research Database

healthcare

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

hst953-ipwmsm

A repo for a talk at HST.953 Fall 2019, to introduce inverse probability weighted and marginal structural models. Will use non-timevarying exposure as an example, but can be extended.

hyperoxia-brazil

Repository for team 11 at the II MIT-HIAE datathon. We examine if the duration of hyperoxia corresponds to organ dysfunction.

hyperoxia-sepsis

An examination of the effect of hyperoxia on in-hospital mortality in ventilated sepsis patients.

icu-rdd

This repository contains code for extracting cohorts from eICU-CRD for RDD analyses.

icu-sepsis-mort

A ML model for predicting mortality in sepsis patients built off the MIMIC-III database.

lactate-discordance

Modeling phenotype-lactate discordance. Ongoing study begun as part of my practcium at the Harvard Chan School.

lactatediscordance

lung-segmentation-2d

Lung fields segmentation on CXR images using convolutional neural networks.

milan-gbm

A demonstration on using gradient boosting machine for building an illness severity score for the ICU.

mimic-ccu

The goal of this project is to characterize the CCU cohort in MIMIC-III in order to develop models which will inform future clinical trial work.