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Data from clinical registries can ID novel drug interactions

medicalxpress.com November 17, 2016

Data mining can be used to discover unknown drug-drug interactions in cardiovascular medicine, according to a study published online Nov. 8 in Circulation: Cardiovascular Quality and Outcomes.

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Prognostic Predictor Using Lactate-to-Albumin Ratio in Patients with Cirrhosis and Sepsis

Machine Learning to Predict Extubation Success Using the SBT

Mortality Predictor with sPAP in Elderly Critically Ill with Severe COVID-19 Pneumonia

Low Decent Work Perception Among PICU Nurses

Mechanical Ventilation in Emergency Medicine

Technology in the ICU, An Issue of Critical Care Nursing Clinics of North America

The Oxygen Revolution: The Definitive Treatment of Traumatic Brain Injury (TBI) & Other Disorders

Hemodynamic Monitoring: Invasive and Noninvasive Clinical Application

Renal Replacement Therapy: Controversies and Future Trends

Clinical Application of Mechanical Ventilation

ICU Protocols: A Step-wise Approach, Vol II

ICU Protocols: A Step-wise Approach, Vol II

Sepsis: Clinical Diagnosis and Treatment

Fast-Track in Cardiac Anesthesia: Cardiac Surgery in the Era of ERAS

COVID-19 and the Cardiovascular System: From Pathophysiology to Clinical Management

Ethics in Intensive Care Medicine (Lessons from the ICU)

The Infectious Disease Diagnosis: A Case Approach

Mechanical Ventilation in Patient with Respiratory Failure