Tsui Laboratory Publications

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

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

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

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

Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring

Info Sci · 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

nternational 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

I-WIN: an Intensive care Warning INdex System for Early Prediction of Clinical Deterioration and Intervention using Data-driven Machine Learning Modeling of Electronic Health Record Data

AI Showcase Stage I, American Medical Informatics Association 2022 Informatics Summit · March, 2022

Classifying Social Determinants of Health from Unstructured Electronic Health Records Using Deep Learning-based Natural Language Processing

J Biomed Inform · January, 2022

Early prediction of clinical deterioration using data-driven machine-learning modeling of electronic health records

J Thorac Cardiovasc Surg · January, 2022

Using data-driven machine learning to predict unplanned ICU transfers with critical deterioration from electronic health records Proceedings of MedInfo 2021

International Medical Informatics Association · October, 2021

Fasting Duration and Blood Pressure in Children: Reply

Anesthesiology · April, 2021

Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts

JAMIA Open · January, 2021

Design and deployment of a real-time AI-based telehealth system for deterioration prediction of critical-care patients in a large children's hospital