Identifying signs and symptoms of AL amyloidosis in electronic health records using natural language processing, diagnosis codes, and manually abstracted registry data
Am J Hematol
.
2023 Sep;98(9):E255-E258.
doi: 10.1002/ajh.27019.
Epub 2023 Jul 4.
Authors
Eli Silvert
1
,
Laura Hester
2
,
Eshwan Ramudu
1
,
Colin Pawlowski
1
,
Britte Kranenburg
3
,
Francis Buadi
4
,
Eli Muchtar
4
,
Samer Khaled
5
,
Namphuong Tran
5
,
Venky Soundararajan
1
,
Najat Khan
2
,
Morie Gertz
4
,
Angela Dispenzieri
4
Affiliations
1
nference, Cambridge, Massachusetts, USA.
2
Janssen Research & Development, LLC, Titusville, New Jersey, USA.
3
Janssen Biologics BV, Leiden, The Netherlands.
4
Division of Hematology and Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
5
Janssen Research & Development, LLC, Los Angeles, California, USA.
PMID:
37403432
DOI:
10.1002/ajh.27019
No abstract available
Publication types
Letter
Research Support, Non-U.S. Gov't
MeSH terms
Algorithms
Electronic Health Records*
Humans
Immunoglobulin Light-chain Amyloidosis* / diagnosis
Natural Language Processing
Routinely Collected Health Data