Improved modeling of clinical data with kernel methods

Artificial Intelligence in Medicine

Volumn 54, Issue 2, 2012, Pages 103-114

  Daemen, Anneleen ^a   Timmerman, Dirk ^b   Van den Bosch, Thierry ^b   Bottomley, Cecilia ^c   Kirk, Emma ^c   Van Holsbeke, Caroline ^b,d   Valentin, Lil ^e   Bourne, Tom ^b,f   De Moor, Bart ^a  

^a Katholieke Universiteit Leuven   (Belgium)

^b UNIVERSITY HOSPITALS LEUVEN   (Belgium)

^c ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

^d DEPARTMENT OF CARDIOLOGY   (Belgium)

^e LUND UNIVERSITY HOSPITAL   (Sweden)

^f HAMMERSMITH HOSPITAL   (United Kingdom)

Author keywords

Biostatistics; Breast cancer; Clinical data representation; Clinical decision support system; Gynecology; Kernel function; Machine learning; Support vector machine

Indexed keywords

BIOSTATISTICS; BREAST CANCER; CLINICAL DATA; CLINICAL DECISION SUPPORT SYSTEMS; KERNEL FUNCTION; MACHINE-LEARNING; SUPPORT VECTOR;

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; DISEASES; GYNECOLOGY; SUPPORT VECTOR MACHINES;

DIAGNOSIS;

AREA UNDER THE CURVE; ARTICLE; BREAST CANCER; CLINICAL DATA REPOSITORY; GYNECOLOGY; HUMAN; KERNEL METHOD; PATIENT INFORMATION; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; TREATMENT RESPONSE;

ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; BIOSTATISTICS; BREAST NEOPLASMS; DATA MINING; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; FEMALE; GYNECOLOGY; HUMANS; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; MIDDLE AGED; NONLINEAR DYNAMICS; PREGNANCY; PROGNOSIS; SUPPORT VECTOR MACHINES; YOUNG ADULT;

EID: 84855961334     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2011.11.001     Document Type: Article

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