Machine learning, medical diagnosis, and biomedical engineering research - commentary

BioMedical Engineering Online

Volumn 13, Issue 1, 2014, Pages

  Foster, Kenneth R ^a   Koprowski, Robert ^b   Skufca, Joseph D ^c  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF SILESIA   (Poland)

^c CLARKSON UNIVERSITY   (United States)

Author keywords

Artificial intelligence; Classifiers; Image processing; Machine learning; Support vector machine

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOMEDICAL ENGINEERING; CLASSIFIERS; IMAGE PROCESSING; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES;

DIAGNOSTIC APPLICATIONS; DIAGNOSTIC TECHNIQUES; MACHINE LEARNING TECHNIQUES; OVERFITTING;

DIAGNOSIS;

ARTIFICIAL INTELLIGENCE; BIOMEDICAL ENGINEERING; DIAGNOSTIC PROCEDURE; ELECTROCARDIOGRAM; HASHIMOTO DISEASE; HUMAN; MACHINE LEARNING; METHODOLOGY; PREDICTIVE VALUE; PRIORITY JOURNAL; REVIEW; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; VALIDATION PROCESS; PROCEDURES;

ARTIFICIAL INTELLIGENCE; BIOMEDICAL ENGINEERING; DIAGNOSTIC TECHNIQUES AND PROCEDURES; HASHIMOTO DISEASE; HUMANS;

EID: 84907019464     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-13-94     Document Type: Review

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