8 citations · 21 across the 4 of their papers we have counts for
4 papers
Improving Prediction of Need for Mechanical Ventilation using Cross-Attention
Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan Y. Lam +1
In the intensive care unit, the capability to predict the need for mechanical ventilation (MV) facilitates more timely interventions to improve patient outcomes. Recent works have…
DeepAISE -- An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis
Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma +1
Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early predictio…
Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?
Russell Jeter, Christopher Josef, Supreeth Shashikumar +1
From 2017 to 2018 the number of scientific publications found via PubMed search using the keyword "Machine Learning" increased by 46% (4,317 to 6,307). The results of studies invol…
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks
Supreeth P. Shashikumar, Amit J. Shah, Gari D. Clifford +1
Detection of atrial fibrillation (AF), a type of cardiac arrhythmia, is difficult since many cases of AF are usually clinically silent and undiagnosed. In particular paroxysmal AF…