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Lidia Moura

Harvard University - Massachusetts General Hospital

SCHOLARLY PAPERS

2

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Scholarly Papers (2)

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1.

Brain Health Scores to Predict Neurological Outcomes from Electronic Health Records

Number of pages: 43 Posted: 21 Sep 2022
Marta Bento Fernandes, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand and M. Brandon Westover
Harvard University - Massachusetts General Hospital, Harvard University - Department of Neurology, Harvard University - Massachusetts General Hospital, Harvard University - Massachusetts General Hospital, Harvard University - Massachusetts General Hospital, Harvard University - Department of Neurology, Harvard University - Massachusetts General Hospital, Harvard University - Massachusetts General Hospital, Harvard University - Massachusetts General Hospital and Harvard University - Department of Neurology
Downloads 94 (720,278)

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Survival analysis, Time-to-event, dementia, Depression, ischemic stroke, intracranial hemorrhage.

2.

Automated Identification of Fall-Related Injuries in Unstructured Clinical Notes

Number of pages: 26 Posted: 31 Mar 2023
Lilian Maria Godeiro Coelho, Wendong Ge, Maria A. Donahue, Hunter J. Rice, Deborah Blacker, John Hsu, Joseph P. Newhouse, Sonia Hernandez-Diaz, Sebastien Haneuse, M. Brandon Westover and Lidia Moura
Harvard University - Massachusetts General Hospital, Harvard University - Department of Neurology, Harvard University - Massachusetts General Hospital, Harvard University - Massachusetts General Hospital, Harvard T.H. Chan School of Public Health - Department of Epidemiology, Harvard University - Massachusetts General Hospital, Harvard Medical School; Harvard Kennedy School (HKS), Harvard TH Chan School of Public Health - Department of Epidemiology, Harvard University, Harvard University - Department of Neurology and Harvard University - Massachusetts General Hospital
Downloads 80 (823,616)

Abstract:

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Fall-related injuryElectronic Health RecordDeep learningNatural Language ProcessingBidirectional Encoder Representation from TransformersSupport Vector Machines (SVM)