Item Infomation


Title: An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models
Authors: Nora, El-Rashidy
Ahmed, Sedik
Ali I., Siam
Issue Date: 2023
Publisher: Springer
Abstract: Emergency medicine (EM) is one of the attractive research fields in which researchers investigate their efforts to diagnose and treat unforeseen illnesses or injuries. There are many tests and observations are involved in EM. Detection of the level of consciousness is one of these observations, which can be detected using several methods. Among these methods, the automatic estimation of the Glasgow coma scale (GCS) is studied in this paper. The GCS is a medical score used to describe a patient’s level of consciousness. This type of scoring system requires medical examination that may not be available with the shortage of the medical expert. Therefore, the automatic medical calculation for a patient’s level of consciousness is highly needed.
Description: CC BY
URI: https://link.springer.com/article/10.1007/s00521-023-08258-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8289
Appears in CollectionsOER - Công nghệ thông tin
ABSTRACTS VIEWS

2094

FULLTEXT VIEWS

49

Files in This Item: