Sparkle Russell-PuleriCheXplain: A minimum viable healthcare product prototype that explains how a multi-class deep…by Sparkle Russell-Puleri and Ravi S. RāmphalMay 10, 2022May 10, 2022
Sparkle Russell-PuleriinTowards Data SciencePredicting 30-day Readmission risk for ICU patients using a multi-task deep learning frameworkUnsupervised clustering of patient sub-populations for multitask learning using electronic health recordsMay 21, 2020May 21, 2020
Sparkle Russell-PuleriinTowards Data SciencePredicting future medical diagnoses with RNNs using Fast AI API from scratchFull pytorch implementation Doctor AI paper using Electronic Health RecordsApr 21, 20192Apr 21, 20192
Sparkle Russell-PuleriinTowards Data ScienceUsing Electronic Health Records to predict future diagnosis codes with Gated Recurrent UnitsBackground: Detailed review of Doctor AI: Predicting Clinical Events via Recurrent Neural Nets (Choi et.al 2016)Mar 12, 20191Mar 12, 20191
Sparkle Russell-PuleriGated Recurrent Units explained with matrices: Part 2 Training and Loss Functionby: Sparkle Russell-Puleri and Dorian PuleriMar 6, 20191Mar 6, 20191
Sparkle Russell-PuleriinTowards Data ScienceGated Recurrent Units explained using Matrices: Part 1by: Sparkle Russell-Puleri and Dorian PuleriFeb 24, 201912Feb 24, 201912