Heart Failure analysis Dashboard for patient's remote monitoring combining multiple artificial intelligence technologies

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

Volumn , Issue , 2012, Pages 2210-2213

  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

ARTIFICIAL INTELLIGENCE TECHNOLOGIES; AUTOMATIC ACQUISITION; CLASSIFICATION TREES; CLINICAL DECISION; CLINICAL PARAMETERS; FUNCTIONAL PARTS; FUZZY EXPERT SYSTEMS; REMOTE MONITORING; STATE-OF-THE-ART ALGORITHMS; TELE-MONITORING;

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; FAILURE ANALYSIS; HUMAN RESOURCE MANAGEMENT; TELEMEDICINE;

DIAGNOSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; HEART FAILURE; HUMAN; METHODOLOGY; PHYSIOLOGIC MONITORING; TELEMEDICINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSIS, COMPUTER-ASSISTED; HEART FAILURE; HUMANS; MONITORING, PHYSIOLOGIC; PATTERN RECOGNITION, AUTOMATED; TELEMEDICINE;

MLCS; MLOWN;

EID: 84870846172     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346401     Document Type: Conference Paper

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