Research
Our work has been presented at national conferences and published in peer-reviewed journals.
“Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial” study published in Critical Care Medicine journal
The study titled "Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial", authored by Dr. Levin and several members of the Clinical Data Science team, has been published in the Critical Care Medicine...
CDS presentation in the 2024 Critical Care Congress
The Clinical Data Science team, represented by our data scientist Kim-Anh-Nhi Nguyen, MSc, presented the paper "A Deep Learning Model using Chest X-Rays to Predict Re-Intubation Risk in Critical Care" at the 2024 Critical Care Congress in Phoenix, Arizona. More...
A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation
A new paper written by the Clinical Data Science team has been published in JMIR (https://formative.jmir.org/2023/1/e46905). Background: Early prediction of the need for invasive mechanical ventilation (IMV) in patients hospitalized with COVID-19 symptoms can help in...
MUST-Plus presentation at the AMIA 2023 Clinical Informatics Conference
The American Medical Informatics Association (AMIA) 2023 Clinical Informatics Conference took place on 05/23 - 05/25. The Clinical Informatics Conference (CIC) is "where clinical informaticists of all disciplines –physicians, nurses, physician assistants, pharmacists,...
Impact of a Real-Time Ventilator Management Dashboard with Alerts: Sustained Hospital-Wide Improvement in Lung Protective Ventilation
The following is a summary of a presentation conducted by our team for the American Thoracic Society 2022 International Conference, which took place May 13-18, 2022. For more information, visit...
Fusion of Chest Radiographs and Electronic Medical Records using Deep Learning to Predict Intubation among Hospitalized Patients with COVID-19
The following is a summary of a presentation conducted by our team for the AMIA 2022 Informatics Summit which took place on March 21-24, 2022. For more information, visit...
Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce
The following is a summary of a conference presentation conducted by our team at the Women in Statistics and Data Science Conference, which took place October 6-8, 2021. More information can be found at...
Deployment, Adoption, and Clinical Impact of a Real-Time Ventilator Management Dashboard
The following is a summary of a thematic poster presentation conducted by our team for the American Thoracic Society 2021 International Conference, which took place May 14-19, 2021. For more information, visit...
Predicting Readiness to Liberate from Mechanical Ventilation Using Machine Learning: Development and Retrospective Validation
The following is a summary of a thematic poster presentation conducted by our team for the American Thoracic Society 2021 International Conference, which took place May 14-19, 2021. For more information, visit...