Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46905, first published .
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 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

JMIR Formative Res: A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With #covid19: Algorithm Development and Validation https://t.co/3Y9zDQcIKR https://t.co/zlfUbKRil8

1:06 PM · Oct 26, 2023

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RT @jmirpub: JMIR Formative Res: A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records…

1:06 PM · Oct 26, 2023

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8,472/ New York State, USA (adult current smoking rate was 12% in 2021) smoking: C=current, P=past Of 660 hospitalized with Covid-19, C=3.6% & P=84.5% 58 intubated: C=1.7% & P=82.8% https://t.co/FC3pmptKPP

1:35 AM · Nov 13, 2023

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