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Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil
ConclusionsHospital length of stay and 30-day mortality of patients admitted to the ICU with stroke were accurately predicted through machine learning methods, even in the absence of stroke-specific data, such as the National Institutes of Health Stroke Scale score or neuroimaging findings. The proposed methods using general intensive care databases may be used for resource use allocation planning and performance assessment of ICUs treating stroke. More detailed acute neurological and management data, as well as long-term functional outcomes, may improve the accuracy and applicability of future machine-learning-based prediction algorithms.
Source: Neurocritical Care - April 6, 2022 Category: Neurology Source Type: research

What Causes Microcephaly?
Discussion Microcephaly is usually defined as an occipitofrontal head circumference (OFC) more than 2 standard deviations (SD) below the mean for sex, age and ethnicity. Severe microcephaly is used for OFC < 3 standard deviations. Rates of microcephaly range from 0.5-12 patients/10,000 live births. The OFC should be measured at every well child visit and at other opportunities and plotted on standard growth charts. The OFC is measured using a nonelastic tape measure around the largest part of the head with the tape measure held above the eyebrows and ears. It is a highly reproducible measurement. There are several diff...
Source: PediatricEducation.org - September 25, 2017 Category: Pediatrics Authors: pediatriceducationmin Tags: Uncategorized Source Type: news