ICU Mortality Prediction Using XGBoost-based Scoring Systems: A Study from a Developing Country

A locally adapted ICU mortality prediction model was developed, underscoring the pivotal role of predictors such as hospital stay duration, albumin, and urea levels in predicting patient outcomes. The heightened accuracy and sensitivity of the XGBoost model signify its potential as an invaluable tool in the critical task of mortality prediction within the Jordanian ICU context.

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Publication Details

Journal
Reviews on Recent Clinical Trials
Published
2025-06-18
DOI
https://doi.org/10.2174/0115748871348585250604065542
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
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article

ICU Mortality Prediction Using XGBoost-based Scoring Systems: A Study from a Developing Country

Mohammad Araydah, Reema Karasneh, Suad Kabbaha, Mamoon A. Aldeyab et al.
Reviews on Recent Clinical Trials
Machine Learning in Healthcare
article

ICU Mortality Prediction Using XGBoost-based Scoring Systems: A Study from a Developing Country

Mohammad Araydah, Reema Karasneh, Suad Kabbaha, Mamoon A. Aldeyab, Dania Rahhal, Karem H. Alzoubi, Sayer I. Al-Azzam, Zelal Jaber Kharaba, Yamin Al-Azzam
article en

Abstract

A locally adapted ICU mortality prediction model was developed, underscoring the pivotal role of predictors such as hospital stay duration, albumin, and urea levels in predicting patient outcomes. The heightened accuracy and sensitivity of the XGBoost model signify its potential as an invaluable tool in the critical task of mortality prediction within the Jordanian ICU context.

Reviews on Recent Clinical TrialsVol. 20
University of Huddersfield (GB), Jordan University of Science and Technology (JO), University of Sharjah (AE), Impact (CA), Hamilton Health Sciences (CA), Yarmouk University (JO), McMaster University (CA)
Good health and well-being
Openalex Percentile: Top 93%
Machine Learning in Healthcare
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ICU Mortality Prediction Using XGBoost-based Scoring Systems: A Study from a Developing Country — Mohammad Araydah, Reema Karasneh, et al. · Reviews on Recent Clinical Trials (2025) | TGRS Research Map | TGRS