Published on in Vol 24 , No 8 (2022) :August
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40384, first published
.
Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study
Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study
Ayush
Noori
1 
;
Colin
Magdamo
1
;
Xiao
Liu
1
;
Tanish
Tyagi
1
;
Zhaozhi
Li
1
;
Akhil
Kondepudi
1
;
Haitham
Alabsi
1, 2
;
Emily
Rudmann
1, 3
;
Douglas
Wilcox
1, 2
;
Laura
Brenner
2, 4
;
Gregory K
Robbins
2, 5
;
Lidia
Moura
1, 2
;
Sahar
Zafar
1, 2
;
Nicole M
Benson
2, 6, 7
;
John
Hsu
2, 6
;
John
R Dickson
1, 2
;
Alberto
Serrano-Pozo
1, 2
;
Bradley T
Hyman
1, 2
;
Deborah
Blacker
2, 8
;
M Brandon
Westover
1, 2
;
Shibani S
Mukerji
1, 2, 5
;
Sudeshna
Das
1, 2
;
Colin
Magdamo
1
;
Xiao
Liu
1
;
Tanish
Tyagi
1
;
Zhaozhi
Li
1
;
Akhil
Kondepudi
1
;
Haitham
Alabsi
1, 2
;
Emily
Rudmann
1, 3
;
Douglas
Wilcox
1, 2
;
Laura
Brenner
2, 4
;
Gregory K
Robbins
2, 5
;
Lidia
Moura
1, 2
;
Sahar
Zafar
1, 2
;
Nicole M
Benson
2, 6, 7
;
John
Hsu
2, 6
;
John
R Dickson
1, 2
;
Alberto
Serrano-Pozo
1, 2
;
Bradley T
Hyman
1, 2
;
Deborah
Blacker
2, 8
;
M Brandon
Westover
1, 2
;
Shibani S
Mukerji
1, 2, 5
;
Sudeshna
Das
1, 2 Journals
- Oh I, Schindler S, Ghoshal N, Lai A, Payne P, Gupta A. Extraction of clinical phenotypes for Alzheimer’s disease dementia from clinical notes using natural language processing. JAMIA Open 2023;6(1) View