Experiments on the automated selection of patients for clinical trials

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 5, Issue , 2003, Pages 4541-4545

  Fink, Eugene ^a   Hall, Lawrence O ^a   Goldgof, Dmitry B ^a   Goswami, Bhavesh D ^a   Boonstra, Matthew ^a   Krischer, Jeffrey P ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Breast cancer; Cost reduction; Medical expert systems

Indexed keywords

AUTOMATION; MEDICAL APPLICATIONS; ONCOLOGY; PATIENT TREATMENT;

BREAST CANCER; MEDICAL EXPERT SYSTEMS;

EXPERT SYSTEMS;

EID: 0242406151     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Sanjukta, Bhanja, Lynn M. Fletcher, Lawrence O. Hall, Dmitry B. Goldgof, and Jeffrey P. Krischer. A qualitative expert system for clinical trial assignment. In Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, pages 84-88, 1998.
2. Jacques Bouaud, Briggite Séroussi, Éric-Charles Antoine, Mary Gozy, David Khayat, and Franşois Boisvieux. Hypertextual navigation operationalizing generic clinical practice guidelines for patient-specific therapeutic decisions. Journal of the American Medical Informatics Association, 5 (suppl.): 488-492, 1998.
3. Jacques Bouaud, Briggite Séroussi, Éric-Charles Antoine, Laurent Zelek, and Marc Spielmann. Reusing ONCODOC, a guideline-based decision support system, across institutions: A successful experiment in sharing medical knowledge. In Proceedings of the American Medical Informatics Association Annual Symposium, volume 7, 2000.
4. Robert W. Carlson, Samson W. Tu, Nancy M. Lane, Tze L. Lai, Carol A. Kemper, Mark A. Musen, and Edward H. Shortliffe. Computer-based screening of patients with HIV/AIDS for clinical trial eligibility. Online Journal of Current Clinical Trials, 4 (179), 1995.
5. Lesley Fallowfield, D. Ratcliffe, and Robert Souhami. Clinicians' attitudes to clinical trials of cancer therapy. European Journal of Cancer, 33(13):2221-2229, 1997.
6. Princeton K. Kokku, Lawrence O. Hall, Dmitry B. Goldgof, Eugene Fink, and Jeffrey P. Krischer. A cost-effective agent for clinical trial assignment. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2002.
7. Cyrus Kotwall, Leo J. Mahoney, Robert E. Myers, and Linda Decoste. Reasons for non-entry in randomized clinical trials for breast cancer: A single institutional study. Journal of Surgical Oncology, 50:125-129, 1992.
8. Mark A. Musen, Samson W. Tu, Amar K. Das, and Yuval Shahar. EON: A component-based approach to automation of protocol-directed therapy. Journal of the American Medical Informatics Association, 3(6):367-388, 1996.
9. Savvas Nikiforou. Selection of clinical trials: Knowledge representation and acquisition. Master's thesis, Department of Computer Science and Engineering, University of South Florida, 2002.
10. Savvas Nikiforou, Eugene Fink, Lawrence O. Hall, Dmitry B. Goldgof, and Jeffrey P. Krischer. Knowledge acquisition for clinical-trial selection. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2002.
11. 2: A decision-support tool for decreasing physicians' uncertainty regarding patient eligibility for HIV treatment protocols. In Proceedings of the Seventeenth Annual Symposium on Computer Applications in Medical Care, pages 429-433, 1993.
12. Constantinos Papaconstantinou, Georgios Theocharous, and Sridhar Mahadevan. An expert system for assigning patients into clinical trials based on Bayesian networks. Journal of Medical Systems, 22(3):189-202, 1998.
13. Briggite Séroussi, Jacques Bouaud, and É-Charles Antoine. Users' evaluation of ONCODOC, a breast cancer therapeutic guideline delivered at the point of care. Journal of the American Medical Informatics Association, 6(5):384-389, 1999.
14. Briggite Séroussi, Jacques Bouaud, and Éric-Charles Antoine. ONCODOC: A successful experiment of computer-supported guideline development and implementation in the treatment of breast cancer. Artificial Intelligence in Medicine, 22(1):43-64, 2001.
15. Briggite Séroussi, Jacques Bouaud, Éric-Charles Antoine, Laurent Zelek, and Marc Spielmann. Using ONCODOC as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials. In Silvana Quaglini, Pedro Barahona, and Steen Andreassen, editors, Artificial Intelligence in Medicine, pages 421-430. Springer-Verlag, Berlin, Germany, 2001.
16. Georgios Theocharous. An expert system for assigning patients into clinical trials based on Bayesian networks. Master's thesis, Computer Science and Engineering Department, University of South Florida, 1996.
17. Samson W. Tu, Carol A. Kemper, Nancy M. Lane, Robert W. Carlson, and Mark A. Musen. A methodology for determining patients' eligibility for clinical trials. Journal of Methods of Information in Medicine, 32(4):317-325, 1993.