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Feature selection using generalized linear model for Machine Learning-based sepsis prediction

Sepsis is a life-threatening condition of patients in an intensive care unit. Early sepsis detection can reduce the mortality rate and cost of treatment among the patients of the Intensive care unit (ICU). Machine Learning-based model can be used to predict sepsis early using Electronic Health R...

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Bibliographic Details
Main Authors: Mohammed Ashikur, Rahman, Abubakar, Adamu, Tumian, Afidalina
Format: Proceeding Paper
Language:English
English
Published: IEEE 2023
Subjects:
Q300 Cybernetics
Online Access:http://irep.iium.edu.my/106530/1/106530_Feature_Selection_using_Generalized_Linear_Model_for_Machine_Learning-based_Sepsis_Prediction.pdf
http://irep.iium.edu.my/106530/2/106530_Feature_Selection_using_Generalized_Linear_Model_for_Machine_Learning-based_Sepsis_Prediction_SCOPUS.pdf
http://irep.iium.edu.my/106530/
https://ieeexplore.ieee.org/abstract/document/10074523
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Internet

http://irep.iium.edu.my/106530/1/106530_Feature_Selection_using_Generalized_Linear_Model_for_Machine_Learning-based_Sepsis_Prediction.pdf
http://irep.iium.edu.my/106530/2/106530_Feature_Selection_using_Generalized_Linear_Model_for_Machine_Learning-based_Sepsis_Prediction_SCOPUS.pdf
http://irep.iium.edu.my/106530/
https://ieeexplore.ieee.org/abstract/document/10074523

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