Machine learning in prognosis of the femoral neck fracture recovery

Artificial Intelligence in Medicine

Volumn 8, Issue 5, 1996, Pages 431-451

  Kukar, Matjaž ^b   Kononenko, Igor ^b   Silvester, Tomaž ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b NONE

Author keywords

empirical comparison; estimating attributes; explanation ability; impurity function; learning from examples; multiple knowledge

Indexed keywords

BACKPROPAGATION; DECISION THEORY; LEARNING ALGORITHMS; NEURAL NETWORKS; PATIENT REHABILITATION; PERFORMANCE; PROBLEM SOLVING;

EMPIRICAL COMPARISON; ESTIMATING ATTRIBUTES; EXPLANATION ABILITY; FEMORAL NECK FRACTIVE RECOVERY; IMPURITY FUNCTION; LEARNING FROM EXAMPLES; MULTIPLE KNOWLEDGE;

LEARNING SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; FEMUR NECK FRACTURE; HEALING; PRIORITY JOURNAL; PROGNOSIS;

EID: 0030271793     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(96)00351-X     Document Type: Article

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