Expert knowledge integration in the data mining process with application to cardiovascular risk assessment

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn 2015-November, Issue , 2015, Pages 2538-2542

  Tavares, M ^a   Paredes, S ^b   Rocha, T ^b   Carvalho, P ^a   Ramos, J ^a   Mendes, D ^a   Henriques, J ^a   Morais, J ^c  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b POLYTECHNIC INSTITUTE OF COIMBRA   (Portugal)

^c Leiria Hospital   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CARDIOVASCULAR DISEASES; DATA MINING; DECISION TREE; FACTUAL DATABASE; HUMAN; PORTUGAL; RISK ASSESSMENT; RISK FACTOR; THEORETICAL MODEL;

ALGORITHMS; CARDIOVASCULAR DISEASES; DATA MINING; DATABASES, FACTUAL; DECISION TREES; HUMANS; MODELS, THEORETICAL; PORTUGAL; RISK ASSESSMENT; RISK FACTORS;

EID: 84953306712     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2015.7318909     Document Type: Conference Paper

References (13)

1. Cao and Zhang (2006); L. Cao, C. Zhang; Domain-Driven Data Mining: A practical methodology, International Journal of Data Warehousing & Mining, 2, 4, 49-65.
2. Fayyad et al (1996); U. Fayyad et al; Knowledge discovery and data mining: Towards a unifying framework, Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining, Portland, OR, 82-88.
3. Kononenko (2001); I. Kononenko; Machine learning for medical diagnosis: history, state of the art and perspective, Artificial Intelligence in medicine, 1-25.
4. Pazzani et al (2001); M. Pazzani, S. Mani, W. Shankle; Acceptance of rules generated by machine learning among medical experts, Methods of information in medicine, 40, 5, 380-385.
5. Hand (2007); Principles of data mining, vol. 30. January.
6. Lavrac and Keravnou (2000); N. Lavrac and E. Keravnou; Intelligent data analysis in medicine, Encyclopedia of computer science, 37, 1-5.
7. Bellazzi and Zupan (2008); R. Bellazzi, B. Zupan; Predictive data mining in clinical medicine: current issues and guidelines, International journal of medical informatics, 77, 81-97, Feb.
8. Podgorelec et al (2002); V. Podgorelec et al, Decision trees: an overview and their use in medicine, Journal of medical systems, 26, 445-463, Oct.
9. Quinlan (1986); J. Quinlan; Induction of decision trees, Machine learning, 1, 1, 81-106.
10. Quinlan (1993); J. Quinlan, C4. 5: programs for machine learning. Morgan kaufmann.
11. Quinlan (2004); R. Quinlan; Data mining tools-the See5 and the C5. 0.
12. Boulicaut and Jeudy (2005); J. Boulicaut, B. Jeudy; Constraint-based data mining," Data Mining and Knowledge Discovery Handbook, 399-416.
13. C. Giraud-Carrier (2000); An introduction to the Global Registry of Acute Coronary Events: GRACE, Eur Heart J 2000.