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a1ccharacteristicsandoutcome

ageatdiagnosisovertime

agn

admission glucose number

analyse_neqone_output

analyse output from keras

atom

:atom: The hackable text editor

bagofdrugs

prepping drug history for RNN analysis

cbg.xgb

cbg.xgb

colab

COLAB

covid

predicting covid diagnosis and severity

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cpeptide

cpeptide analysis and outcome

csainsbury

profile readme repo

data_and_presentations_submissions

dataclean

generating quasiTS data

dice

drugclassoutcome

for paper

gan-for-tabular-data

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.

general_code

glucose.ai

data analysis & event prediction in diabetes

glycaemicstreaming

associations between measures of glycaemia over time

hba1c_gan

imaging-time-series-to-improve-classification-and-imputation

Python 3.6+ (only)

imdb-rnn

keras-adversarial

Keras Generative Adversarial Networks

mmvae

A package for multi-morbidity clustering using Beta-Variational Auto Encoders

nature_paper_predicting_dr_progression

Code to recreate the field-specific CNN pillars to predict DR progression as outlined in the Nature Digital Medicine paper of 2019

neqonetrial

code for n = 1 trials to assess relationship of arbitrary next drug added to outcome of interest

network_drugcombinations

represent drug history as image

pmml2sklearn

Parse pmml files and convert it to sklearn kmeans models.

problemdruguse.diabetes

problem drug use and outcomes in diabetes