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A High-Precision Time-Varying Survival Model for Early Prediction of Patient Deterioration: A Retrospective Cohort Study.

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第一作者： Nishchay,Joshi

第一单位： Wrightington Wigan & Leigh Teaching Hospitals NHS Foundation Trust, Wigan WN1 2NN, UK.

作者： Nishchay,Joshi ^[1] ; Brian,Wood ^[1] ; David,Chapman ^[1] ; Martin,Farrier ^[1] ; Thomas,Ingram ^[1]

作者单位： Wrightington Wigan & Leigh Teaching Hospitals NHS Foundation Trust, Wigan WN1 2NN, UK. ^[1]

关键词 Cox proportional hazards model NEWS2 alert fatigue clinical deterioration early-warning system electronic health records high-risk patient machine learning patient deterioration survival analysis

DOI 10.3390/jcm15051690

PMID 41827109

发布时间 2026-03-16

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Journal of clinical medicine

2026年15卷5期

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Journal of clinical medicine

2026年15卷5期

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A High-Precision Time-Varying Survival Model for Early Prediction of Patient Deterioration: A Retrospective Cohort Study.

Journal of clinical medicine

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A High-Precision Time-Varying Survival Model for Early Prediction of Patient Deterioration: A Retrospective Cohort Study.

Journal of clinical medicine

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Journal of clinical medicine

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