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Volumn 39, Issue 1, 2012, Pages 1474-1483
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Clinical charge profiles prediction for patients diagnosed with chronic diseases using Multi-level Support Vector Machine
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Author keywords
Chronic disease and parallel algorithm; Classification problem; Multi level clustering algorithm; Support Vector Machine
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Indexed keywords
CHARGE PROFILES;
CHRONIC DISEASE;
CLASSIFICATION PERFORMANCE;
CLINICAL KNOWLEDGE;
COMPLEX DATASETS;
CROSS VALIDATION;
DATA DISTRIBUTION;
DATA MINING TASKS;
DATA SETS;
DECISION-FUSION ALGORITHMS;
HEALTH CARE COSTS;
HEALTHCARE SERVICES;
LARGE DATASETS;
LENGTH OF STAY;
LOCAL DATA;
MATHEMATICAL FOUNDATIONS;
MULTI-LEVEL;
NUMBER OF SAMPLES;
PERFORMANCE EVALUATION;
POLICY MAKERS;
RUNNING TIME ANALYSIS;
SUPPORT VECTOR;
SVM CLASSIFICATION;
TRAINING PROCESS;
TRAINING TIME;
CLASSIFICATION (OF INFORMATION);
CLUSTERING ALGORITHMS;
DATA MINING;
DISEASES;
FORESTRY;
HEALTH CARE;
PARALLEL ALGORITHMS;
PARALLEL ARCHITECTURES;
PATIENT MONITORING;
TREES (MATHEMATICS);
VECTORS;
SUPPORT VECTOR MACHINES;
ALGORITHMS;
CLASSIFICATION;
DISEASES;
FORESTRY;
HEALTH;
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EID: 81855164880
PISSN: 09574174
EISSN: None
Source Type: Journal
DOI: 10.1016/j.eswa.2011.08.036 Document Type: Article |
Times cited : (14)
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References (21)
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