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

• Main Authors: Mohammed Ashikur, Rahman, Abubakar, Adamu, Tumian, Afidalina
• 格式: Proceeding Paper
• 语言: English; English
• 出版: IEEE 2023
• 主题: Q300 Cybernetics
• 在线阅读: 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

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...