An artificial intelligence algorithm for analyzing acetaminophen-associated toxic hepatitis.

Journal: Human & experimental toxicology

PMID: 33955253

Abstract

INTRODUCTION: Very little artificial intelligence (AI) work has been performed to investigate acetaminophen-associated hepatotoxicity. The objective of this study was to develop an AI algorithm for analyzing weighted features for toxic hepatitis after acetaminophen poisoning.

Authors

J-S Yen

Department of Nephrology and Clinical Poison Center, Chang Gung Memorial Hospital, Linkou.
C-C Hu

College of Medicine, Chang Gung University, Taoyuan.
W-H Huang

Department of Nephrology and Clinical Poison Center, Chang Gung Memorial Hospital, Linkou.
C-W Hsu

Department of Nephrology and Clinical Poison Center, Chang Gung Memorial Hospital, Linkou.
T-H Yen

Department of Nephrology and Clinical Poison Center, Chang Gung Memorial Hospital, Linkou.
C-H Weng

Department of Nephrology and Clinical Poison Center, Chang Gung Memorial Hospital, Linkou.

Keywords

Acetaminophen Adult Algorithms Artificial Intelligence Chemical and Drug Induced Liver Injury China Diagnosis, Computer-Assisted Female Humans Male Reproducibility of Results Young Adult

External Resources

View on PubMed Access via DOI PubMed (33955253)

An artificial intelligence algorithm for analyzing acetaminophen-associated toxic hepatitis.

Abstract

Authors

Keywords

External Resources

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