A Gaussian mixture model approach to grouping patients according to their hospital length of stay

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2008, Pages 524-529

  Abbi, Revlin ^a   El Darzi, Elia ^a   Vasilakis, Christos ^b   Millard, Peter ^c  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

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

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); HOSPITALS; IMAGE SEGMENTATION; MAGNETOSTRICTIVE DEVICES; OBJECT RECOGNITION; TECHNICAL PRESENTATIONS; TRELLIS CODES;

CLINICAL EXPERIENCE; CLINICAL INTERPRETATION; COMPUTER-BASED MEDICAL SYSTEMS; DATA SETS; EXPONENTIAL EQUATIONS; GAUSSIAN MIXTURE MODEL; HOMOGENEOUS GROUPS; INTERNATIONAL SYMPOSIUM; LENGTH OF STAY; NEW APPROACHES; RECOVERY PATTERNS; SKEWED DISTRIBUTIONS; STATISTICAL SIGNIFICANCE; STROKE PATIENTS;

HEALTH;

EID: 51849140127     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2008.69     Document Type: Conference Paper

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