Area of research
Critical Care and Intensive Care Medicine · Artificial Intelligence
Research interest
Research interests include Intensive Care Unit Cognitive Disorders, Machine Learning in Healthcare, Sepsis Diagnosis and Treatment, and Neurobiology and Insect Physiology Research.
Multimodal data for predictive medicine: algorithmic fusion of clinical data in anesthesiology and intensive care
Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study
A scalable approach for critical care data extraction and analysis in an academic medical center
Effectiveness of an intensive care telehealth programme to improve process quality (ERIC): a multicentre stepped wedge cluster randomised controlled trial
A statistical method for predicting quantitative variables in association rule mining
Mobilisation practices during the SARS-CoV-2 pandemic: A retrospective analysis (MobiCOVID)
Outcome Comparison of Acute Respiratory Distress Syndrome (ARDS) in Patients with Trauma-Associated and Non-Trauma-Associated ARDS: A Retrospective 11-Year Period Analysis
Mobilisation of critically ill patients receiving norepinephrine: a retrospective cohort study
A Recurrent Neural Network Model for Predicting Activated Partial Thromboplastin Time After Treatment With Heparin: Retrospective Study
Cortical hot spots and labyrinths: why cortical neuromodulation for episodic migraine with aura should be personalized