Tsui Laboratory Publications

AddtoAny
Share:

WATCH THIS PAGE

Subscribe to be notified of changes or updates to this page.

4 + 10 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Below is a list of recent publications and presentations from the Tsui Lab.

Automated Matchmaking of Researcher Biosketches and Funder Requests for Proposals Using Deep Neural Networks
IEEE Access · July, 2024
The infant health effects of doulas: Leveraging big data and machine learning to inform cost-effective targeting
Health Economics · June, 2024
The Risk of Aircraft-Acquired SARS-CoV-2 Transmission during Commercial Flights: A Systematic Review
International Journal Of Environmental Research And Public Health · May, 2024
Predictive Validity of the K-CAT-SS in High-Risk Adolescents and Young Adults
Journal Of The American Academy Of Child And Adolescent Psychiatry · May, 2024
Electroencephalogram-based machine learning models to predict neurologic outcome after cardiac arrest: A systematic review
Resuscitation · January, 2024
Addressing Health-Related Social Needs and Mental Health Needs in the Neonatal Intensive Care Unit: Exploring Challenges and the Potential of Technology
International Journal Of Environmental Research And Public Health · December, 2023
Predicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospital
JAMIA Open · December, 2023
Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms
IEEE Journal Of Biomedical And Health Informatics · October, 2023
Taking a byte out of APRICOT to predict which children are at low risk for critical perioperative events
Paediatric Anaesthesia · September, 2023
PO-03-124 Development And Validation Of A Deep Neural Network To Measure Qtc On Pediatric Electrocardiograms
Heart Rhythm · May, 2023
Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition
J Am Med Inform Assoc · April, 2023
Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods
Health Econ · January, 2023
Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring
Info Sci · November, 2022
Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data
AI Showcase Stage III, American Medical Informatics Association (AMIA) Annual Symposium, AI Evaluation Showcase-Stage III · November, 2022
Using dual transformers for multi-task, multi-label token classification (MTML-BERT) to extract social determinants of health from clinical notes
2022 National NLP Clinical Challenges (n2c2) Shared Task and Workshop · November, 2022
Prediction of return of spontaneous circulation using physiological waveforms during cardiopulmonary resuscitation in a pediatric experimental model of cardiac arrest: a machine learning pilot study
International Conference on Intelligent Biology and Medicine · August, 2022
Early prediction of clinical deterioration using data-driven machine learning modeling of electronic health records
J Thorac Cardiovasc Surg · July, 2022
Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records
Stud Health Technol Inform · June, 2022
Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations
Proceedings of the 21st Workshop on Biomedical Language Processing Page · May, 2022
Usability and workflow evaluation of the Intensive care Warning INdex system (I-WIN) for early prediction of clinical deterioration and intervention
AI Showcase Stage II, American Medical Informatics Association (AMIA) Clinical Informatics Conference · May, 2022