Linkage of Hospital Records and Death Certificates by a Search Engine and Machine Learning.
death certificates
information storage and retrieval
medical record linkage
search engine
supervised machine learning
Journal
JAMIA open
ISSN: 2574-2531
Titre abrégé: JAMIA Open
Pays: United States
ID NLM: 101730643
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
15
12
2020
revised:
22
01
2021
accepted:
02
02
2021
entrez:
12
3
2021
pubmed:
13
3
2021
medline:
13
3
2021
Statut:
epublish
Résumé
Vital status is of central importance to hospital clinical research. However, hospital information systems record only in-hospital death information. Recently, the French government released a publicly available dataset containing death-certificate data for over 25 million individuals. The objective of this study was to link French death certificates to the Bordeaux University Hospital records to complete the vital status information. Our linkage strategy was composed of a search engine to reduce the number of comparisons and machine-learning algorithms. The overall pipeline was evaluated by assembling a file containing 3,565 in-hospital deaths and 15,000 alive persons. The recall and precision of our linkage strategy were 97.5% and 99.97% for the upper threshold and 99.4% and 98.9% for the lower threshold, respectively. In this study, we demonstrated the feasibility of accurately linking hospital records with death certificates using a search engine and machine learning.
Identifiants
pubmed: 33709061
doi: 10.1093/jamiaopen/ooab005
pii: ooab005
pmc: PMC7935495
doi:
Banques de données
Dryad
['10.5061/dryad.1ns1rn8sj']
Types de publication
Journal Article
Langues
eng
Pagination
ooab005Informations de copyright
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association.
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