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Full-Text Articles in Medicine and Health Sciences

Pulmonary Function Decline In Amyotrophic Lateral Sclerosis, Terry D. Heiman-Patterson, Ossama Khazaal, Daohai Yu, Michael E. Sherman, Edward J. Kasarskis, Carlayne E. Jackson, Peg Niv Study Group Aug 2021

Pulmonary Function Decline In Amyotrophic Lateral Sclerosis, Terry D. Heiman-Patterson, Ossama Khazaal, Daohai Yu, Michael E. Sherman, Edward J. Kasarskis, Carlayne E. Jackson, Peg Niv Study Group

Neurology Faculty Publications

Background: There has been no comprehensive longitudinal study of pulmonary functions (PFTS) in ALS determining which measure is most sensitive to declines in respiratory muscle strength. Objective: To determine the longitudinal decline of PFTS in ALS and which measure supports Medicare criteria for NIV initiation first. Methods: Serial PFTs (maximum voluntary ventilation (MVV), maximum inspiratory pressure measured by mouth (MIP) or nasal sniff pressure (SNIP), maximum expiratory pressure (MEP), and Forced Vital Capacity (FVC)) were performed over 12 months on 73 ALS subjects to determine which measure showed the sentinel decline in pulmonary function. The rate of decline for each …


Discrepancies In Stroke Distribution And Dataset Origin In Machine Learning For Stroke., Lohit Velagapudi, Nikolaos Mouchtouris, Michael P Baldassari, David Nauheim, Omaditya Khanna, Fadi Al Saiegh, Nabeel Herial, M Reid Gooch, Stavropoula Tjoumakaris, Robert H Rosenwasser, Pascal Jabbour Jul 2021

Discrepancies In Stroke Distribution And Dataset Origin In Machine Learning For Stroke., Lohit Velagapudi, Nikolaos Mouchtouris, Michael P Baldassari, David Nauheim, Omaditya Khanna, Fadi Al Saiegh, Nabeel Herial, M Reid Gooch, Stavropoula Tjoumakaris, Robert H Rosenwasser, Pascal Jabbour

Department of Neurosurgery Faculty Papers

BACKGROUND: Machine learning algorithms depend on accurate and representative datasets for training in order to become valuable clinical tools that are widely generalizable to a varied population. We aim to conduct a review of machine learning uses in stroke literature to assess the geographic distribution of datasets and patient cohorts used to train these models and compare them to stroke distribution to evaluate for disparities.

AIMS: 582 studies were identified on initial searching of the PubMed database. Of these studies, 106 full texts were assessed after title and abstract screening which resulted in 489 papers excluded. Of these 106 studies, …