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Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
Conclusion: Electronic administrative records from this cohort produced reliable outcome prediction and identified clinically appropriate factors negatively impacting most outcome variables following hospital admission with stroke. This presents a means of future identification of modifiable factors associated with patient discharge destination. This may potentially aid in patient selection for certain interventions and aid in better patient and clinician education regarding expected discharge outcomes.
Source: Frontiers in Neurology - September 27, 2021 Category: Neurology Source Type: research

What Causes Facial Nerve Palsy?
Discussion Facial nerve palsy has been known for centuries, but in 1821 unilateral facial nerve paralysis was described by Sir Charles Bell. Bell’s palsy (BP) is a unilateral, acute facial paralysis that is clinically diagnosed after other etiologies have been excluded by appropriate history, physical examination and/or laboratory testing or imaging. Symptoms include abnormal movement of facial nerve. It can be associated with changes in facial sensation, hearing, taste or excessive tearing. The right and left sides are equally affected but bilateral BP is rare (0.3%). Paralysis can be complete or incomplete at prese...
Source: PediatricEducation.org - June 3, 2019 Category: Pediatrics Authors: pediatriceducationmin Tags: Uncategorized Source Type: news