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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

Medtech approvals: FDA releases August 2015 PMAs
The FDA today released its list of the pre-market approvals it granted for medical devices in August 2015: Summary of PMA Originals & Supplements Approved Originals: 2 Supplements: 70 Summary of PMA Originals Under Review Total Under Review: 57 Total Active: 28 Total On Hold: 29 Summary of PMA Supplements Under Review Total Under Review: 569 Total Active: 422 Total On Hold: 147 Summary of All PMA Submissions Originals: 5 Supplements: 90 Summary of PMA Supplement PMA Approval/Denial Decision Times Number of Approvals: 70 Number of Denials: 0 Average Days Fr Receipt to Decision (Total Time): 229.0 FDA Time: 130...
Source: Mass Device - October 23, 2015 Category: Medical Equipment Authors: Brad Perriello Tags: Food & Drug Administration (FDA) Pre-Market Approval (PMA) Regulatory/Compliance Source Type: news