160 citations · 435 across the 9 of their papers we have counts for
9 papers
Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients
Harsh Parikh, Kentaro Hoffman, Haoqi Sun +10
Epileptiform activity (EA) is associated with worse outcomes including increased risk of disability and death. However, the effect of EA on the neurologic outcome is confounded by…
Automated Respiratory Event Detection Using Deep Neural Networks
Thijs E Nassi, Wolfgang Ganglberger, Haoqi Sun +5
The gold standard to assess respiration during sleep is polysomnography; a technique that is burdensome, expensive (both in analysis time and measurement costs), and difficult to r…
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning
Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu +16
Dementia is under-recognized in the community, under-diagnosed by healthcare professionals, and under-coded in claims data. Information on cognitive dysfunction, however, is often…
Clinically Relevant Mediation Analysis using Controlled Indirect Effect
Haoqi Sun, Michael J. Leone, Lin Liu +3
Mediation analysis allows one to use observational data to estimate the importance of each potential mediating pathway involved in the causal effect of an exposure on an outcome. H…
Night-to-Night Variability of Sleep Electroencephalography-Based Brain Age Measurements
Jacob Hogan, Haoqi Sun, Luis Paixao +9
Objective Brain Age Index (BAI), calculated from sleep electroencephalography (EEG), has been proposed as a biomarker of brain health. This study quantifies night-to-night variabil…
Sleep Staging from Electrocardiography and Respiration with Deep Learning
Haoqi Sun, Wolfgang Ganglberger, Ezhil Panneerselvam +7
Study Objective: Sleep is reflected not only in the electroencephalogram but also in heart rhythms and breathing patterns. Therefore, we hypothesize that it is possible to accurate…
Brain Age from the Electroencephalogram of Sleep
Haoqi Sun, Luis Paixao, Jefferson T. Oliva +8
The human electroencephalogram (EEG) of sleep undergoes profound changes with age. These changes can be conceptualized as "brain age", which can be compared to an age norm to refle…
HAMLET: Interpretable Human And Machine co-LEarning Technique
Olivier Deiss, Siddharth Biswal, Jing Jin +3
Efficient label acquisition processes are key to obtaining robust classifiers. However, data labeling is often challenging and subject to high levels of label noise. This can arise…
SLEEPNET: Automated Sleep Staging System via Deep Learning
Siddharth Biswal, Joshua Kulas, Haoqi Sun +4
Sleep disorders, such as sleep apnea, parasomnias, and hypersomnia, affect 50-70 million adults in the United States (Hillman et al., 2006). Overnight polysomnography (PSG), includ…