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 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...

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About Us We are a team of data scientists and engineers that leverage the power of ML and AI at Mount Sinai Hospital.   Our Vision Data science, machine learning (ML) and artificial intelligence (AI) have the potential to transform the delivery of clinical care and...

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Careers Join The Team Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec eget leo id odio elementum facilisis ut et nulla. Integer consequat enim at massa matti View Our Projects Ready To Make an Impact? Lorem ipsum dolor sit amet, consectetur adipiscing...

Research

Research Our work has been presented at national conferences and published in peer-reviewed journals. MUST-Plus presentation at the AMIA 2023 Clinical Informatics Conference by Fabio Santana | Jun 1, 2023 | General, ResearchThe American Medical Informatics Association...