Coronary heart disease patient models based on inductive machine learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2101, Issue , 2001, Pages 113-116

  Krstačić, Goran ^a   Gamberger, Dragan ^b   Šmuc, Tomislav ^b  

^a Private Clinic for Physical Medicine and Rehabilitation   (Croatia)

^b RUDER BO KOVI INSTITUTE   (Croatia)

Author keywords

[No Author keywords available]

Indexed keywords

RISK ANALYSIS;

CORONARY HEART DISEASE; EXPERT KNOWLEDGE; INDUCTIVE LEARNING; INDUCTIVE MACHINE LEARNING; MODEL CONSTRUCTION; PATIENT MODELS; RISK FACTORS; SUB-GROUPS;

MACHINE LEARNING;

EID: 84947420040     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48229-6_15     Document Type: Conference Paper

References (3)

1. Gamberger, D. and Lavrač, N. (2000) Confirmation rule sets. In Proc. of 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000), pp.34-43.
2. Goldman, L., Garber, A.M., Grover, S.A., Hlatky, M.A. (1996) Cost-effectiveness of assessments and management of risk factors. Journal of American College Cardiology 27:1020-1030.
3. Maron, D., Ridker, P.M, Pearson A.T. (1998) Risk factors and the prevention of coronary heart disease. In Wayne A.R., Schlant R.C., Fuster V.: HURST'S: The Heart, 1175-1195. McGrawc Hill, NY.