An Evaluation of Multivariate Data Analysis Models for Lipidomic Parameters from Patients with Metabolic Syndrome Undergoing Remedial Treatment

Autor:	R. Chapier, Claude Wolf, Antonin Lamaziere, D. Farabos, Peter J. Quinn
Rok vydání:	2018
Předmět:	Multivariate statistics medicine.medical_specialty Multivariate analysis business.industry Potential biomarkers Internal medicine Lifestyle intervention medicine Blood lipids Fatty acid composition Metabolic syndrome medicine.disease business
Zdroj:	Lipidomics in Health & Disease ISBN: 9789811306198
DOI:	10.1007/978-981-13-0620-4_4
Popis:	Multivariate data methods have been applied in analysis of parameters derived from patients with metabolic syndrome undergoing a remedial regime. In an example involving parameters derived from the fatty acid composition of serum lipids multivariate modeling is challenged to identify potential biomarkers for prediction during the intervention. Multivariate methods also reveal useful applications to monitor compliance to the prescribed exercise and diet regime, a critical feature in a lifestyle intervention conducted over a long time period.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a4af209524ccd06d57d0df96391a3392 https://doi.org/10.1007/978-981-13-0620-4_4 Zobrazit plný text záznamu