This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2193) Clinical Informatics (904) Clinical Information and Decision Making (1314) Decision Support for Health Professionals (1127) Machine Learning (1370) Artificial Intelligence (1186) Electronic Health Records (961)

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

Authors of this article:

Kim-Anh-Nhi Nguyen1 Author Orcid Image ;   Pranai Tandon2 Author Orcid Image ;   Sahar Ghanavati1 Author Orcid Image ;   Satya Narayana Cheetirala1 Author Orcid Image ;   Prem Timsina1 Author Orcid Image ;   Robert Freeman1, 3 Author Orcid Image ;   David Reich3, 4 Author Orcid Image ;   Matthew A Levin4, 5, 6 Author Orcid Image ;   Madhu Mazumdar1, 7 Author Orcid Image ;   Zahi A Fayad8, 9 Author Orcid Image ;   Arash Kia1, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

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  1. Puteri D, Buana P, Sukarsa I. Komparasi Metode Decision Tree dan Deep Learning dalam Meramalkan Jumlah Mahasiswa Drop Out Berdasarkan Nilai Akademik. Journal of Internet and Software Engineering 2024;1(2):12 View
  2. Kanber B, Smadi A, Noaman N, Liu B, Gou S, Alsmadi M. LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine Learning and Image Processing. IEEE Access 2024;12:39811 View
  3. Noaman N, Kanber B, Smadi A, Jiao L, Alsmadi M. Advancing Oncology Diagnostics: AI-Enabled Early Detection of Lung Cancer Through Hybrid Histological Image Analysis. IEEE Access 2024;12:64396 View