Machine learning prediction for COVID-19 disease severity at hospital admission
Abstract Importance Early prognostication of patients hospitalized with COVID-19 who may require mechanical ventilation and have worse outcomes within 30 days of admission is useful for delivering appropriate clinical care and optimizing resource allocation. Objective To develop machine learning mod...
Main Authors: | Ganesh Raman, Bilal Ashraf, Yusuf Kemal Demir, Corey D. Kershaw, Sreekanth Cheruku, Murat Atis, Ahsen Atis, Mustafa Atar, Weina Chen, Ibrahim Ibrahim, Taha Bat, Mutlu Mete |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-03-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-023-02132-4 |
Similar Items
-
Developing an interpretable machine learning model for predicting COVID-19 patients deteriorating prior to intensive care unit admission using laboratory markers
by: A. Reina-Reina, et al.
Published: (2023-12-01) -
Assessment of Serum Electrolytes, Biochemical, and Inflammatory Markers in Predicting COVID-19 Severity in COPD Patients
by: Farzana Mim, et al.
Published: (2023-05-01) -
The modified systemic inflammation score is a predictor of ICU admission of COVID-19 patients
by: Damla Anbarli Metin, et al.
Published: (2023-01-01) -
Might periostin serve as a marker of bone marrow involvement in patients with diffuse large B-cell lymphoma?
by: Tekinalp Atakan, et al.
Published: (2022-10-01) -
Role of routine laboratory markers in the diagnosis of rotavirus and adenovirus gastroenteritis
by: Kılıçaslan O, et al.
Published: (2022-06-01)