A stochastic model of susceptibility to antibiotic therapy-The effects of cross-resistance and treatment history

Artificial Intelligence in Medicine

Volumn 40, Issue 1, 2007, Pages 57-63

  Zalounina, Alina ^a   Paul, Mical ^b   Leibovici, Leonard ^b   Andreassen, Steen ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b RABIN MEDICAL CENTER   (Israel)

Author keywords

Antibiotic therapy; Bacterial infections; Causal probabilistic networks; Cross resistance

Indexed keywords

BACTERIA; DECISION SUPPORT SYSTEMS; DRUG THERAPY; MICROBIOLOGY; STOCHASTIC MODELS;

ANTIBIOTIC THERAPY; BACTERIAL INFECTIONS; CAUSAL PROBABILISTIC NETWORKS; CROSS-RESISTANCE;

ANTIBIOTICS;

AMIKACIN; CEFOTAXIME; IMIPENEM; OFLOXACIN;

ANTIBIOTIC SENSITIVITY; ARTICLE; BACTERIOLOGY; BACTERIUM CULTURE; CONTROLLED STUDY; CROSS RESISTANCE; DATA BASE; DRUG SELECTIVITY; ENTEROBACTER INFECTION; ESCHERICHIA COLI; HUMAN; NONHUMAN; PATHOGENESIS; PRIORITY JOURNAL; SEPSIS; STOCHASTIC MODEL;

ANTI-BACTERIAL AGENTS; DATABASES; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; DRUG RESISTANCE, MULTIPLE, BACTERIAL; DRUG THERAPY, COMPUTER-ASSISTED; HUMANS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; STOCHASTIC PROCESSES; TREATMENT OUTCOME;

EID: 34247630202     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2006.12.007     Document Type: Article

References (13)

1. Andreassen S., Leibovici L., Paul M., Nielsen A., Zalounina A., Kristensen L., et al. A probabilistic network for fusion of data and knowledge in clinical microbiology. In: Husmeier D., Dybowski R., and Roberts S. (Eds). Probabilistic modeling in bioinformatics and medical informatics (2004), Springer, London 451-472
2. Leibovici L., Gitelman V., Yehezkeli Y., Poznanski O., Milo G., Paul M., et al. Improving first antibiotic treatment: prospective, non-intervention testing a decision support system. J Intern Med 242 (1997) 395-400
3. Shortliffe E. Computer-based medical consultations: MYCIN (1976), North-Holland, New York
4. Dybowski R., Gransden W., and Phillips I. Towards a statistically oriented decision support system for the management of septicaemia. Artif Intell Med 5 (1993) 489-502
5. Evans R., Pestotnik S., Classen D., Clemmer T., Weaver L., Orme J., et al. A computer-assisted management program for antibiotics and other antiinfective agents. New Engl J Med 338 (1998) 232-238
6. Lucas J., de Bruijn N., Schrink K., and Hoepelman A. A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. Artif Intell Med 19 (2000) 251-279
7. The TREAT Working Group. Improving empirical antibiotic treatment using TREAT, a computerised decision support system: cluster randomised trial. J Antimicrob Chemother 58 (2006) 1238-1245
8. Hugin expert. HUGIN System Introduction, version 6.7. Hugin Expert A/S, Aalborg, Denmark. (http://www.hugin.dk); 2006 [accessed: 25 August 2006].
9. Kristensen B. Construction and evaluation of a decision support system for first antibiotic treatment of bacteraemia. PhD thesis. Denmark: Aalborg University; 2003.
10. Andreassen S., Riekehr C., Kristensen B., Schønheyder H., and Leibovici L. Using probabilistic and decision-theoretic methods in treatment and prognosis modeling. Artif Intell Med 15 (1999) 121-134
11. von Neumann J., and Morgenstern O. Theory of games and economic behavior (1953), Wiley, New York
12. Paul M., Andreassen S., Nielsen A., Tacconelli E., Almanasreh N., Fraser A., et al. Prediction of bacteremia using TREAT, a computerized decision support system. Clin Infect Dis 42 (2006) 1274-1282
13. Leibovici L., Paul M., Kristensen B., and Andreassen S. Significance of early trends in patients with bloodstream infections. Proceedings of the 43rd interscience conference on antimicrobial agents and chemotherapy (ICAAC), vol. L-118. Chicago, USA, September 2003 (2003), American Society for Microbiology 404