Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures

Background This study aimed to compare clinical and laboratory characteristics of supra-therapeutic (RSTI) and acute acetaminophen exposures using a predictive decision tree (DT) algorithm. Methods We conducted a retrospective cohort study using the National Poison Data System (NPDS). All patients w...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	BMC medical informatics and decision making Jg. 23; H. 1; S. 102 - 7
Hauptverfasser:	Mehrpour, Omid, Hoyte, Christopher, Nakhaee, Samaneh, Megarbane, Bruno, Goss, Foster
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 01.06.2023 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Accuracy Acetaminophen Acetaminophen - adverse effects Acute acetaminophen poisoning Algorithms Analgesics Analgesics, Non-Narcotic Analysis APAP Classification Complications and side effects Data systems Decision making Decision Tree Decision Trees Drowsiness Drug dosages Exposure Health Informatics Human subjects Humans Information Systems and Communication Service Ingestion Laboratories Lethargy Liver Machine learning Management of Computing and Information Systems Medicine Medicine & Public Health Model accuracy Mortality NPDS Patient outcomes Patients Performance evaluation Poisoning Poisons Repeated supra-therapeutic ingestion Retrospective Studies Vomiting United States United States > US APAP Decision Tree Acute acetaminophen poisoning NPDS Repeated supra-therapeutic ingestion
ISSN:	1472-6947, 1472-6947
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!