Cited 0 times in Scipus Cited Count

Machine-learning model to predict the cause of death using a stacking ensemble method for observational data

Authors
Kim, C | You, SC | Reps, JM | Cheong, JY  | Park, RW
Citation
Journal of the American Medical Informatics Association : JAMIA, 28(6). : 1098-1107, 2021
Journal Title
Journal of the American Medical Informatics Association : JAMIA
ISSN
1067-50271527-974X
Abstract
OBJECTIVE: Cause of death is used as an important outcome of clinical research; however, access to cause-of-death data is limited. This study aimed to develop and validate a machine-learning model that predicts the cause of death from the patient's last medical checkup. MATERIALS AND METHODS: To classify the mortality status and each individual cause of death, we used a stacking ensemble method. The prediction outcomes were all-cause mortality, 8 leading causes of death in South Korea, and other causes. The clinical data of study populations were extracted from the national claims (n = 174 747) and electronic health records (n = 729 065) and were used for model development and external validation. Moreover, we imputed the cause of death from the data of 3 US claims databases (n = 994 518, 995 372, and 407 604, respectively). All databases were formatted to the Observational Medical Outcomes Partnership Common Data Model. RESULTS: The generalized area under the receiver operating characteristic curve (AUROC) of the model predicting the cause of death within 60 days was 0.9511. Moreover, the AUROC of the external validation was 0.8887. Among the causes of death imputed in the Medicare Supplemental database, 11.32% of deaths were due to malignant neoplastic disease. DISCUSSION: This study showed the potential of machine-learning models as a new alternative to address the lack of access to cause-of-death data. All processes were disclosed to maintain transparency, and the model was easily applicable to other institutions. CONCLUSION: A machine-learning model with competent performance was developed to predict cause of death.
Keywords

MeSH

DOI
10.1093/jamia/ocaa277
PMID
33211841
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Gastroenterology
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Ajou Authors
박, 래웅  |  정, 재연
Full Text Link
Files in This Item:
33211841.pdfDownload
Export

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse