cosgriffc Goto Github PK
Name: C. V. Cosgriff
Type: User
Company: MGH
Name: C. V. Cosgriff
Type: User
Company: MGH
Easily create a beautiful website using Academic and Hugo
PyTorch implementation of AnimeGANv2
Notebook for applying Bayesian methods to the analysis of RCT results.
A collection of Bayesian data analysis recipes using PyMC3
Final project for BST 260
Predicting mortality in the CRRT cohort of MIMIC-III.
Homework #2 for BST.262 Computing with Big Data at Harvard Chan School Spring 2018
Intro to making your own packages for R.
We sought to examine the effect of constraining the training data case mix on the performance of mortality forecasting for high-risk patients.
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.
[CSV] Dataset of CoronaVirus disease 2019 (COVID-19) in South Korea (from KCDC)
COVID-19 Italia - Monitoraggio situazione
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Website for critical-data
Code shared by the research community for the eICU Collaborative Research Database
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
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.
Repository for team 11 at the II MIT-HIAE datathon. We examine if the duration of hyperoxia corresponds to organ dysfunction.
An examination of the effect of hyperoxia on in-hospital mortality in ventilated sepsis patients.
This repository contains code for extracting cohorts from eICU-CRD for RDD analyses.
A ML model for predicting mortality in sepsis patients built off the MIMIC-III database.
Modeling phenotype-lactate discordance. Ongoing study begun as part of my practcium at the Harvard Chan School.
Lung fields segmentation on CXR images using convolutional neural networks.
A demonstration on using gradient boosting machine for building an illness severity score for the ICU.
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.