A general model for continuous noninvasive pulmonary artery pressure estimation

Computers in Biology and Medicine

Volumn 43, Issue 7, 2013, Pages 904-913

  Smith, Robert ^a   Ventura, Dan ^a  

^a 3361 TMCB   (United States)

Author keywords

Dimensionality reduction; Feature selection; Medical diagnostics; Neural networks; Neural networks topology; PAP; SVM parameter selection

Indexed keywords

CONTINUOUS MONITORING; DIMENSIONALITY REDUCTION; ESTIMATE OF ERRORS; MACHINE LEARNING MODELS; MEDICAL DIAGNOSTICS; NONINVASIVE METHODS; PAP; PARAMETER SELECTION;

FEATURE EXTRACTION; HEALTH CARE; HOSPITAL DATA PROCESSING; MONITORING; NEURAL NETWORKS; NONINVASIVE MEDICAL PROCEDURES;

ESTIMATION;

ACCURACY; ALGORITHM; ARTICLE; HEART BEAT; HEART DISEASE; HEART SOUND; HUMAN; LUNG ARTERY PRESSURE; MACHINE LEARNING; NON INVASIVE PROCEDURE; PHONOCARDIOGRAPHY; PRIORITY JOURNAL;

BLOOD PRESSURE; BLOOD PRESSURE DETERMINATION; COMPUTATIONAL BIOLOGY; HUMANS; MODELS, CARDIOVASCULAR; PULMONARY ARTERY; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES;

EID: 84878939124     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.04.010     Document Type: Article

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