Pinned Repositories
bayes-rct
Notebook for applying Bayesian methods to the analysis of RCT results.
bst261-crrt
Predicting mortality in the CRRT cohort of MIMIC-III.
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.
hyperoxia-sepsis
An examination of the effect of hyperoxia on in-hospital mortality in ventilated sepsis patients.
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.
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.
seq-severityscore
Developing severity scores that are better calibrated in the most critically ill patients.
COVID-PDSS
cosgriffc's Repositories
cosgriffc/seq-severityscore
Developing severity scores that are better calibrated in the most critically ill patients.
cosgriffc/bayes-rct
Notebook for applying Bayesian methods to the analysis of RCT results.
cosgriffc/milan-gbm
A demonstration on using gradient boosting machine for building an illness severity score for the ICU.
cosgriffc/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.
cosgriffc/mimic-iv-aline-study
Replication of the arterial line study in MIMIC-IV
cosgriffc/academic-kickstart
Easily create a beautiful website using Academic and Hugo
cosgriffc/animegan2-pytorch
PyTorch implementation of AnimeGANv2
cosgriffc/ARDSPhenotypes
cosgriffc/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
cosgriffc/bst262-hw2
Homework #2 for BST.262 Computing with Big Data at Harvard Chan School Spring 2018
cosgriffc/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.
cosgriffc/Coronavirus-Dataset
[CSV] Dataset of CoronaVirus disease 2019 (COVID-19) in South Korea (from KCDC)
cosgriffc/cosgriffc.github.io
cosgriffc/COVID-19
COVID-19 Italia - Monitoraggio situazione
cosgriffc/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
cosgriffc/critical-data
Website for critical-data
cosgriffc/healthcare
cosgriffc/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
cosgriffc/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.
cosgriffc/hyperoxia-brazil
Repository for team 11 at the II MIT-HIAE datathon. We examine if the duration of hyperoxia corresponds to organ dysfunction.
cosgriffc/icu-rdd
This repository contains code for extracting cohorts from eICU-CRD for RDD analyses.
cosgriffc/LactateDiscordance
cosgriffc/lung-segmentation-2d
Lung fields segmentation on CXR images using convolutional neural networks.
cosgriffc/pred-lactate-discord
A repo for MITCriticalData/HJXIII joint project examining drivers of lactate discordance.
cosgriffc/pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
cosgriffc/pytorchviz
A small package to create visualizations of PyTorch execution graphs
cosgriffc/sepsis_signature
cosgriffc/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
cosgriffc/TCRconv
TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TCRs and convolutional neural networks for the prediction.
cosgriffc/voxelmorph
Unsupervised Learning for Image Registration