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Factors and machine learning models for predicting successful discontinuation of continuous renal replacement therapy in critically ill patients with acute kidney injury: a retrospective cohort study based on MIMIC-IV database.

BMC nephrology 39533212
BACKGROUND: For critically ill patients with acute kidney injury (AKI), there remains controversy regarding the predictive factors affecting the discontinuation of continuous renal replacement therapy (CRRT). This study aims to explore factors associ...
Acute Kidney Injury Aged Cohort Studies Continuous Renal Replacement Therapy Critical Illness Databases, Factual Female Humans Machine Learning Male Middle Aged Retrospective Studies Withholding Treatment
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Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study.

The Journal of dermatological treatment 40107277
BACKGROUND: Identifying the risk of psoriasis relapse after discontinuing biologics can help optimize treatment strategies, potentially reducing relapse rates and alleviating the burden of disease management.
Adult Biological Products Cohort Studies Female Humans Machine Learning Male Middle Aged Nomograms Precision Medicine Psoriasis Recurrence Remission Induction Risk Assessment ROC Curve Severity of Illness Index Withholding Treatment
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