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ORCIDLidia M. V. R. Moura
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2020 – today
- 2023
[j1]Marta P. B. Fernandes
, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia M. V. R. Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand, M. Brandon Westover:
Brain health scores to predict neurological outcomes from electronic health records. Int. J. Medical Informatics 180: 105270 (2023)- 2021
- [i2]Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das:
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. CoRR abs/2111.09115 (2021) - 2020
- [i1]Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das:
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. CoRR abs/2011.06489 (2020)
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