Using Different Data Sets to Test How Well Clinical Prediction Models Work to Predict Patients' Risk of Heart Disease

Autor:	Esmee Venema, Christine Lundquist, Ben Van Calster, David van Klaveren, Gaurav Gulati, Rebecca E.H. Maunder, Jinny G. Park, Jason Nelson, Ewout S. Steyerberg, Riley Brazil, David M. Kent, Benjamin S. Wessler, Hannah L. McGinnes, Jenica N. Upshaw, Jessica K. Paulus
Rok vydání:	2021
Předmět:	Work (electrical) Heart disease business.industry Computer science medicine Artificial intelligence business medicine.disease Machine learning computer.software_genre computer Predictive modelling Test (assessment)
DOI:	10.25302/09.2021.me.160635555
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::905cac68451aa34cdc0db86a9e73580e https://doi.org/10.25302/09.2021.me.160635555 Zobrazit plný text záznamu