SENSORA™ Care Pathway Analytics assists with critical decision-making by identifying care gaps within the patient’s journey. With your data, we provide actionable insights to improve operational efficiencies, quality metrics, patient experience, and outcomes.
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(1) Prince et al. (2023). On the Automation of Cardiac Auscultation: A Machine Learning Platform to Classify Murmurs and their Characteristic. [Manuscript approved for publication]
(2) Eko Murmur Analysis Software User Manual, LBL 295 Rev B. Structural murmur identification in adult patients (>18 years old)
(3) Centers for Disease Control and Prevention, National Center for Health Statistics. Underlying Cause of Death 1999-2017 on CDC WONDER Online Database, released December, 2018. Data are from the Multiple Cause of Death Files, 1999-2017, as compiled from the Vital Statistics Cooperative Program.
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