Automatic prediction of cardiovascular and cerebrovascular events using heart rate variability analysis

PLoS ONE

Volumn 10, Issue 3, 2015, Pages

  Melillo, Paolo ^a,b   Izzo, Raffaele ^c   Orrico, Ada ^a,b   Scala, Paolo ^b   Attanasio, Marcella ^a,b   Mirra, Marco ^c   De Luca, Nicola ^c   Pecchia, Leandro ^d  

^a SECOND UNIVERSITY OF NAPLES   (Italy)

^b Scientific Research and University   (Italy)

^c UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^d UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CEREBROVASCULAR DISEASE; CONTROLLED STUDY; DATA MINING; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE ASSOCIATION; ECHOGRAPHY; FEMALE; FOLLOW UP; HEART RATE VARIABILITY; HIGH RISK PATIENT; HOLTER MONITORING; HUMAN; HYPERTENSION; LOW RISK PATIENT; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; RANDOM FOREST; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TREE BASED CLASSIFIER; DECISION TREE; HEART RATE; PATHOPHYSIOLOGY;

AGED; ALGORITHMS; AUTOMATION; CARDIOVASCULAR DISEASES; CEREBROVASCULAR DISORDERS; DECISION TREES; FEMALE; HEART RATE; HUMANS; MALE; ROC CURVE;

EID: 84925596872     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0118504     Document Type: Article

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