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High p16INK4A expression in glioblastoma is associated with senescence phenotype and better prognosis
Published 2025-02-01Get full text
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Brief summary of the regulatory frameworks of regenerative medicine therapies
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Perspectives of Integrative Cancer Genomics in Next Generation Sequencing Era
Published 2012-06-01Get full text
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Splenic Autotransplantation after Blunt Spleen Injury in Children
Published 2018-08-01Get full text
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Hydrogen Risk Assessment Studies: A Review Toward Environmental Sustainability
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Establishing cutoff values for visual amyloid positivity in [18F]flutemetamol PET
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Effects of Methamphetamine on Single Unit Activity in Rat Medial Prefrontal Cortex In Vivo
Published 2007-01-01Get full text
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Prediction of delirium occurrence using machine learning in acute stroke patients in intensive care unit
Published 2025-01-01“…Therefore, we developed and validated prediction models to classify the real-time delirium status in patients admitted to the ICU or Stroke Unit (SU) with ischemic stroke.MethodsA total of 84 delirium patients and 336 non-delirium patients in the ICU of Ajou University Hospital were included. The 8 fixed features [Age, Sex, Alcohol Intake, National Institute of Health Stroke Scale (NIHSS), HbA1c, Prothrombin time, D-dimer, and Hemoglobin] identified at admission and 12 dynamic features [Mean or Variability indexes calculated from Body Temperature (BT), Heart Rate (HR), Respiratory Rate (RR), Oxygen saturation (SpO2), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP)] based on vital signs were used for developing prediction models using the ensemble method.ResultsThe Area Under the Receiver Operating Characteristic curve (AUROC) for delirium-state classification was 0.80. …”
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Association of Intensive Endoscopic Burden with Esophageal Cancer Detection: A Nationwide Cohort Study
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