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Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models

Dec 28, 2021
Ismail Sadiq, Erick A. Perez-Alday, Amit J. Shah, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford

* Presented at the University of Chicago Data Science Institute Dec 6th 2021. See: and 

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Privacy-Preserving Eye-tracking Using Deep Learning

Jun 22, 2021
Salman Seyedi, Zifan Jiang, Allan Levey, Gari D. Clifford

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Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure

Apr 04, 2021
Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford

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

Jan 28, 2021
Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford

* 8 pages, 5 figures, PPAI-2021 

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Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019

Dec 20, 2020
Matthew A. Reyna, Gari D. Clifford

* 20 pages, 6 figures, 3 tables 

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Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data

Nov 20, 2020
Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Perez Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford

* Fixed typo in author affiliations 

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

Jun 20, 2018
Justus T. C. Schwabedal, John C. Snyder, Ayse Cakmak, Shamim Nemati, Gari D. Clifford

* 7 pages, 7 figures 

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Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks

May 07, 2018
Supreeth P. Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati

* Accepted to the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, 2018 

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Fusing Continuous-valued Medical Labels using a Bayesian Model

Jun 13, 2015
Tingting Zhu, Nic Dunkley, Joachim Behar, David A. Clifton, Gari D. Clifford

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