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Mortality prediction in critically ill patients using machine learning score

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...

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Bibliographic Details
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
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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

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