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11/20/2022
Instability in clinical risk stratification models using deep learning
While it has been well known in the ML community that deep learning mode...
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09/03/2022
Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data
Chronic kidney disease (CKD) represents a slowly progressive disorder th...
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07/30/2019
Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process
Currently self-report pain ratings are the gold standard in clinical pai...
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07/19/2019
Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning
Affective states have a critical role in driving performance and safety....
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04/25/2019
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks
Opioids are the preferred medications for the treatment of pain in the i...
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08/21/2018
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals
Currently there is no validated objective measure of pain. Recent neuroi...
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11/10/2017
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning
Pain is a subjective experience commonly measured through patient's self...
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10/29/2017
Regularization approaches for support vector machines with applications to biomedical data
The support vector machine (SVM) is a widely used machine learning tool ...
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06/22/2017