Mortality prediction in critically ill patients using machine learning score

• Main Authors: Dzaharudin, Fatimah, Md Ralib, Azrina, Jamaludin, Ummu Kulthum, Mat Nor, Mohd Basri, Tumian, Afidalina, Har, Lim Chiew, Ceng, T C
• Format: Conference or Workshop Item
• Language: English; English
• Published: IOP Publishing Ltd. 2020
• Subjects: RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
• Online Access: http://irep.iium.edu.my/81849/1/Mortality_prediction_in_critically_ill_patients_us.pdf; http://irep.iium.edu.my/81849/7/Scopus%20-%20Mortality%20prediction%20in%20critically%20ill%20patients%20using%20machine%20learning%20score.pdf; http://irep.iium.edu.my/81849/; https://iopscience.iop.org/article/10.1088/1757-899X/788/1/012029
• Institution: Universiti Islam Antarabangsa Malaysia

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 limi...