AI Medical Compendium Topic:
Intensive Care Units

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Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach.

Critical care medicine
OBJECTIVES: Identifying subgroups of ICU patients with similar clinical needs and trajectories may provide a framework for more efficient ICU care through the design of care platforms tailored around patients' shared needs. However, objective methods...

Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability.

Critical care medicine
OBJECTIVE: To develop a personalizable algorithm to discriminate between sedation levels in ICU patients based on heart rate variability.

Prevalence of cytomegalovirus disease in kidney transplant patients in an intensive care unit.

Revista Brasileira de terapia intensiva
OBJECTIVES: To define the frequency of cytomegalovirus disease among kidney transplant patients in an intensive care unit in which this complication was suspected and to identify predisposing factors and their possible impact on clinical outcome.

Ventilator-Associated Pneumonia: Comparing Cadaveric Liver Transplant and Non-Transplant Surgical Patients.

Acta clinica Croatica
Ventilator-associated pneumonia is a frequent complication in intensive care surgical patients, particularly those with high severity scores on admission. We studied the incidence and clinical outcome of ventilator-associated pneumonia among patients...

Level of adrenomedullin in cases with adrenal defficiency and its relation to mortality in patients with sepsis.

Tuberkuloz ve toraks
INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after evaluation of adrenal function in sepsis patients. We also evaluated other prognostic factors such as APACHE II score, proBNP, and CRP and their predic...

Visualizing patient journals by combining vital signs monitoring and natural language processing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients' physiological condition during an admi...

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

Critical care medicine
OBJECTIVE: Machine learning methods are flexible prediction algorithms that may be more accurate than conventional regression. We compared the accuracy of different techniques for detecting clinical deterioration on the wards in a large, multicenter ...