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

Kim-Anh-Nhi Nguyen   ¹ , MSc ;   Pranai Tandon   ² , MD ;   Sahar Ghanavati   ¹ , PhD ;   Satya Narayana Cheetirala   ¹ , MSc ;   Prem Timsina   ¹ , SCD ;   Robert Freeman   ^{1, 3} , RN ;   David Reich   ^{3, 4} , MD ;   Matthew A Levin   ^{4, 5, 6} , MD ;   Madhu Mazumdar   ^{1, 7} , PhD ;   Zahi A Fayad   ^{8, 9} , PhD ;   Arash Kia   ^{1, 4} , MSc, MD

¹ Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, United States

² Department of Medicine Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

³ Hospital Administration, Icahn School of Medicine at Mount Sinai, New York, NY, United States

⁴ Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

⁵ Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States

⁶ Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States

⁷ Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States

⁸ BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States

⁹ Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States