Area of research
Emergency Medicine · Artificial Intelligence
Research interest
Research focused on Dosing and Electroencephalography, with related work in Coursework, Metric (unit), Photoplethysmogram. Notable publications include 'MIMIC-III, a freely accessible critical care database', 'Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach', and 'You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018'.
AI-driven prediction of cardio-oncology biomarkers through protein corona analysis
The International Cardiac Arrest Research Consortium Electroencephalography Database
Real-time extended psychophysiological analysis of financial risk processing
Artifact Detection and Correction in EEG data: A Review
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning
Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018
Estimating the False Positive Rate of Absent Somatosensory Evoked Potentials in Cardiac Arrest Prognostication
A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU
MIMIC-III, a freely accessible critical care database
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach
Monitoring and detecting atrial fibrillation using wearable technology
A “datathon” model to support cross-disciplinary collaboration
A data-driven approach to optimized medication dosing: a focus on heparin