chris sainsbury's Projects
admission glucose number
analyse output from keras
:atom: The hackable text editor
prepping drug history for RNN analysis
cbg.xgb
COLAB
predicting covid diagnosis and severity
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
cpeptide analysis and outcome
profile readme repo
generating quasiTS data
for paper
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
data analysis & event prediction in diabetes
associations between measures of glycaemia over time
Python 3.6+ (only)
Keras Generative Adversarial Networks
A package for multi-morbidity clustering using Beta-Variational Auto Encoders
Code to recreate the field-specific CNN pillars to predict DR progression as outlined in the Nature Digital Medicine paper of 2019
code for n = 1 trials to assess relationship of arbitrary next drug added to outcome of interest
represent drug history as image
Parse pmml files and convert it to sklearn kmeans models.
problem drug use and outcomes in diabetes