Predicting 1-Year Survival Using Machine Learning in Very Old Patients Before ICU Admission

Discussions about the benefits of admitting very old individuals to intensive care unit (ICU) remain challenging. We hypothesized that data-driven algorithms could leverage extensive real-life data to provide more accurate long-term predictions. Our objective was to evaluate the ability of machine learning (ML) algorithms to predict the one-year survival rate of very old patients prior to their admission to an ICU.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250306
Citations
1
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
4.74
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article

Predicting 1-Year Survival Using Machine Learning in Very Old Patients Before ICU Admission

Arthur Kassa-Sombo, Lionel Tchatat Wangueu, Antoine Guillon, Leslie Grammatico‐Guillon
1 citations
Studies in health technology and informatics
Machine Learning in Healthcare
4.74
article

Predicting 1-Year Survival Using Machine Learning in Very Old Patients Before ICU Admission

Arthur Kassa-Sombo, Lionel Tchatat Wangueu, Antoine Guillon, Leslie Grammatico‐Guillon
article en
1 citations

Abstract

Discussions about the benefits of admitting very old individuals to intensive care unit (ICU) remain challenging. We hypothesized that data-driven algorithms could leverage extensive real-life data to provide more accurate long-term predictions. Our objective was to evaluate the ability of machine learning (ML) algorithms to predict the one-year survival rate of very old patients prior to their admission to an ICU.

Studies in health technology and informaticsVol. 327
Université de Tours (FR), Inserm (FR)
Openalex Percentile: Top 7%
Machine Learning in Healthcare
4.74
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