Researchers develop new system to classify endocrine hypertension

Press/Media: Research

Description

Researchers from the University of Dundee have developed a machine learning system for classifying endocrine hypertension subtypes using multi-omics data from project known by ‘ENS@T-HT’

Period	12 Oct 2022

Media coverage

Title	Researchers develop new system to classify endocrine hypertension
Media type	Web
Country/Territory	United Kingdom
Date	12/10/22
Description	Researchers from the University of Dundee have developed a machine learning system for classifying endocrine hypertension subtypes using multi-omics data from project known by ‘ENS@T-HT’
URL	https://www.dundee.ac.uk/stories/researchers-develop-new-system-classify-endocrine-hypertension
Persons	Parminder Reel, Smarti Reel, Emily Jefferson

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Researchers develop new system to classify endocrine hypertension

Description

Media coverage

Related content

Projects

Omics-Based Strategies for Improved Diagnosis and Treatment of Endocrine Hypertension (ENSAT-HT) (Joint with Inserm, University of Torino, University of Padua, University of Glasgow, University of Birmingham, Radboud University Medical Centre, SleekIT Limited and Inserm Transfert)

Research Facilities

Health Informatics Centre

Research Outputs

Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study