Advanced analytical methodologies for measuring healthy ageing and its determinants, using factor analysis and machine learning techniques: The ATHLOS project

Scientific Reports

Volumn 7, Issue , 2017, Pages

  Félix Caballero, Francisco ^a,b,c   Soulis, George ^d   Engchuan, Worrawat ^e   Sánchez Niubó, Albert ^f,g   Arndt, Holger ^h   Ayuso Mateos, José Luis ^a,b,c   Haro, Josep Maria ^b,f   Chatterji, Somnath ⁱ   Panagiotakos, Demosthenes B ^d  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b CENTRO DE INVESTIGACIÓN BIOMÉDICA EN RED DE SALUD MENTAL CIBERSAM   (Spain)

^c HOSPITAL UNIVERSITARIO DE LA PRINCESA   (Spain)

^d HAROKOPIO UNIVERSITY   (Greece)

^e HOSPITAL FOR SICK CHILDREN   (Canada)

^f PARC SANITARI SANT JOAN DE DÉU   (Spain)

^g CIBER EPIDEMIOLOGÍA Y SALUD PÚBLICA CIBERESP   (Spain)

^h Bregau GmbH and CoKG   (Germany)

ⁱ WORLD HEALTH ORGANIZATION   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AGING; CLINICAL PRACTICE; FACTOR ANALYSIS; FEMALE; HUMAN; LONGITUDINAL STUDY; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; THEORETICAL MODEL; HEALTH STATUS; HEALTHY AGING;

FACTOR ANALYSIS, STATISTICAL; HEALTH STATUS; HEALTHY AGING; HUMANS; LONGITUDINAL STUDIES; MACHINE LEARNING;

EID: 85014970394     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep43955     Document Type: Article

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