activity
20182021
most citedDoes the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?

6 citations · 6 across the 1 of their papers we have counts for

collaborators

6 papers

cs.LG2021

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms

Salman Seyedi, Li Xiong, Shamim Nemati +1

The increasing complexity of algorithms for analyzing medical data, including de-identification tasks, raises the possibility that complex algorithms are learning not just the gene…

cs.LG2019

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…

cs.LG2019

Reinforcement Learning in Healthcare: A Survey

Chao Yu, Jiming Liu, Shamim Nemati

As a subfield of machine learning, reinforcement learning (RL) aims at empowering one's capabilities in behavioural decision making by using interaction experience with the world a…

cs.AI20196 cited

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…

eess.SP2018

Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates

Justus T. C. Schwabedal, John C. Snyder, Ayse Cakmak +2

Randomizing the Fourier-transform (FT) phases of temporal-spatial data generates surrogates that approximate examples from the data-generating distribution. We propose such FT surr…

q-bio.NC2018

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…