Glad to share our recent work published in Resuscitation: “Electroencephalogram-based machine learning models to predict neurologic outcome after cardiac arrest: A systematic review“ . @CHOPDBHi@CHOP_Research@tsuilab https://t.co/3e84WVdUfN
So delighted to present our work and learned our team @TsuiLab ranked 2nd for #n2c2#NLP challenge at #AMIA2022 on the learning transfer task for Social Determinants of Health, statistically indistinguishable from the winning team from Microsoft-Nuance. @ChildrensPhila@CHOPDBHi
To what extent can our "Siamese Attention-augmented Recurrent Convolutional Neural Network" (S-ARCNN) identify similar documents compared to other deep neural networks? Read our recently published article at https://t.co/J79BrUXJAi @TsuiLab@ChildrensPhila@CHOPDBHi
OPPORTUNITY: Dr. Rich Tsui is currently looking for a student to work as a teaching assistant (TA) for his course on BMIN501-001 in Fall 2022.
The class is scheduled on Mondays, 3:30-6:30pm (on-line). For more info, please email [email protected]@richtsui
Just released! #AHRQ's new Toolkit for Preventing CLABSI and CAUTI in ICUs. Created by clinicians for clinicians, it is based on the experience of more than 800 ICUs nationwide. It's free-check it out: https://t.co/FoPzTUGkrH #ICU
Hiring: The Tsui Laboratory at Children’s Hospital of Philadelphia is seeking a Data Scientist to conduct research on natural language processing and machine learning. Potential applicants, please contact Dr. Tsui directly at [email protected].
Tsui Lab at Children's Hospital of Philadelphia is seeking a Senior Data Engineer to integrate clinical data pipelines, expand research data warehouse, and develop best practices for AI decision support, data reporting, and visualization.Apply here: https://t.co/OnjLUQQTAf
Classifying Social Determinants of Health from Unstructured Electronic Health Records Using Deep Learning-based Natural Language Processing https://t.co/LAadwsQfLV #informatics#bioinformatics#nlp#ehr
Hot off the press! To what extent can deep neural networks contribute to the multi-label classification of social determinants of health from free-text clinical notes? Read our pre-proof at https://t.co/cuV3YAtcrU
@tsuilab and @ChildrensPhila@CHOPDBHi@J_Biomed_Info
Can a data-driven machine learning approach using routinely collected EHR data achieve early and accurate prediction of clinical deterioration in intensive care? Read our just-released pre-print. @tsuilab@CHOP_Research@ChildrensPhila@AATSJournals#JTCVS https://t.co/vtBRvuOZ88
The #CPORTSpotlight this week presents Dr. Paul Stricker @pstricker8 a CPORT Senior Scholar. He has done excellent work in perioperative research. Swipe left to learn more about him!