Mortality prediction in critically ill patients using machine learning score

• Main Authors: Fatimah, Dzaharudin, Azrina, Md Ralib, Ummu Kulthum, Jamaludin, Mohd Basri, Mat Nor, Afidalina, Tumian, Har, Lim Chiew, Ceng, T. C.
• Format: Conference or Workshop Item
• Language: English
• Published: Institute of Physics Publishing 2020
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://umpir.ump.edu.my/id/eprint/37356/1/Mortality%20prediction%20in%20critically%20ill%20patients%20using%20machine%20learning%20score.pdf; http://umpir.ump.edu.my/id/eprint/37356/; https://doi.org/10.1088/1757-899X/788/1/012029

Scoring tools are often used to predict patient severity of illness and mortality in intensive care units (ICU). Accurate prediction is important in the clinical setting to ensure efficient management of limited resources. However, studies have shown that the scoring tools currently in use are limit...