Analyzing differences in operational disease definitions using ontological modeling

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

Volumn 4594 LNAI, Issue , 2007, Pages 297-302

  Peelen, Linda ^a   Klein, Michel C A ^b   Schlobach, Stefan ^b   De Keizer, Nicolette F ^a   Peek, Niels ^a  

^a ACADEMIC MEDICAL CENTER   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; HEALTH CARE; MATHEMATICAL MODELS; ONTOLOGY;

BIOMEDICAL RESEARCH; ONTOLOGICAL MODELING; OPERATIONAL DISEASE;

MEDICAL COMPUTING;

EID: 35148851997     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73599-1_40     Document Type: Conference Paper

References (6)

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2. Bernard, G., Vincent, J.L., Laterre, P.F., et al.: Efficacy and safety of recombinant human activated protein C for severe sepsis. N Engl J Med 344, 699-709 (2001)
3. Warren, B., Eid, A., Singer, P., et al: High-dose antithrombin III in severe sepsis. A randomized controlled trial. JAMA 286, 1869-1878 (2001)
4. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P. (eds.): The DL Handbook. Cambridge University Press, Cambridge (2003)
5. Peelen, L., Klein, M., Schlobach, S., De Keizer, N., Peek, N.: Analyzing differences in operational disease definitions using ontological modeling with an application in severe sepsis. Technical Report 2007-02, Dept. of Medical Informatics, Academic Medical Center - Universiteit van Amsterdam (2007)
6. Modgil, S., Hammond, P.: Decision support for clinical trial design. Artificial Intelligence in Medicine 27, 181-200 (2003)