116 citations · 145 across the 10 of their papers we have counts for
10 papers
A wearable electrical hemodynamic imaging ring
Gia-Bao Ha, Lucas Takanori Sanchez Shiromizu, Jaehyeon Song +12
Continuous ambulatory monitoring of peripheral vascular perfusion could enable earlier detection of vascular dysfunction in individuals with diabetes mellitus and more timely manag…
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…
Benchmarking changepoint detection algorithms on cardiac time series
Ayse Cakmak, Erik Reinertsen, Shamim Nemati +1
The pattern of state changes in a biomedical time series can be related to health or disease. This work presents a principled approach for selecting a changepoint detection algorit…
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…
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…
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…
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…
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…
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…
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes
Hongteng Xu, Weichang Wu, Shamim Nemati +1
Over the past decade the rate of care unit (CU) use in the United States has been increasing. With an aging population and ever-growing demand for medical care, effective managemen…