An Early Warning System Using Machine Learning for the Detection of Intracranial Hematomas in the Emergency Trauma Setting.

Journal: Turkish neurosurgery

Published Date: Jan 1, 2022

Abstract

AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm for the rapid detection of extra-axial hematomas (EAHs) in an emergency trauma setting.

Authors

Aydin Aydoseli

Istanbul University, Istanbul Faculty of Medicine, Department of Neurosurgery, Istanbul, Turkey.
Tugrul Cem Unal
Onur Kardes
Ozge Doguc
Ilyas Dolas
Ali Ekrem Adiyaman
Emircan Ortahisar
Gokhan Silahtaroglu

Department of Management Information Systems, Istanbul Medipol University, Beykoz, Istanbul, Turkey.
Yavuz Aras
Pulat Akin Sabanci
Serra Sencer
Altay Sencer

Keywords

Algorithms Hematoma Humans Machine Learning Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (35179731)

An Early Warning System Using Machine Learning for the Detection of Intracranial Hematomas in the Emergency Trauma Setting.

Abstract

Authors

Keywords

External Resources

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