A functional supervised learning approach to the study of blood pressure data. (20th December 2017)

• Record Type: Journal Article
• Authors: Papayiannis, Georgios I.; Giakoumakis, Emmanuel A.; Manios, Efstathios D.; Moulopoulos, Spyros D.; Stamatelopoulos, Kimon S.; Toumanidis, Savvas T.; Zakopoulos, Nikolaos A.; Yannacopoulos, Athanasios N.
• Is Part Of: Statistics in medicine. Volume 37:Number 8(2018)
• Page Start: 1359
• Page End: 1375
• Publication Date: 2017-12-20
• Subjects: blood pressure -- Fréchet mean -- functional supervised learning -- hypertension; Medical statistics -- Periodicals; Statistique médicale -- Périodiques; Statistiques médicales -- Périodiques; 610.727
• DOI: 10.1002/sim.7587
• Languages: English
• ISSNs: 0277-6715

Abstract

Abstract : In this work, a functional supervised learning scheme is proposed for the classification of subjects into normotensive and hypertensive groups, using solely the 24‐hour blood pressure data, relying on the concepts of Fréchet mean and Fréchet variance for appropriate deformable functional models for the blood pressure data. The schemes are trained on real clinical data, and their performance was assessed and found to be very satisfactory.