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

Journal: Journal of the American Medical Informatics Association : JAMIA

PMID: 33211841

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.

Authors

Chungsoo Kim

Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.
Seng Chan You

Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.
Jenna M Reps

Janssen Research and Development, Raritan, NJ, USA.
Jae Youn Cheong

Department of Gastroenterology, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.
Rae Woong Park

Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.

Keywords

Area Under Curve Cause of Death Databases, Factual Decision Support Systems, Clinical Humans Machine Learning Medical Records Systems, Computerized Models, Statistical Observation Prognosis Republic of Korea ROC Curve United States

External Resources

View on PubMed Access via DOI PubMed (33211841)

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

Abstract

Authors

Keywords

External Resources

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