Random forest for automatic assessment of heart failure severity in a telemonitoring scenario

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 3230-3233

  Guidi, G ^a   Pettenati, M C ^b   Miniati, R ^a   Iadanza, E ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

^b ICON (International Center of Computational Neurophotonics) Foundation   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC ASSESSMENT; AUTOMATIC CLASSIFIERS; CLASSIFICATION TREES; DIRECT EVOLUTIONS; HEART FAILURE; RANDOM FOREST ALGORITHM; RANDOM FORESTS; TELE-MONITORING;

BIOLOGY; CARDIOLOGY; DECISION TREES;

TELEMEDICINE;

ALGORITHM; CLASSIFICATION; FACTUAL DATABASE; HEART FAILURE; HUMAN; PATHOLOGY; PATIENT; PHYSIOLOGIC MONITORING; SEVERITY OF ILLNESS INDEX; TELEMEDICINE;

ALGORITHMS; DATABASES, FACTUAL; HEART FAILURE; HUMANS; MONITORING, PHYSIOLOGIC; PATIENTS; SEVERITY OF ILLNESS INDEX; TELEMEDICINE;

EID: 84886524376     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610229     Document Type: Conference Paper

References (13)

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