Expert System in clinical toxicology
| developed by |
clinical domains |
keywords |
| Rouen University |
Toxicology, drugs poisoning |
expert systems, computer assisted decision making |
| location |
commissioned |
status |
| Poison Control Centre, Rouen University Hospital, France |
April, 1992 |
Rouen University Hospital from
1992 and in external evaluation in 3 Poison Control Centres (Grenoble, Lille, Nancy). |
| description |
|
The aim of SETH is to give specific advice concerning the treatment
and monitoring of drug poisoning. Currently, the data base contains the
1153 most toxic or most frequently ingested French drugs from 78
different toxicological classes. The SETH expert system simulates expert
reasoning, taking into account for each toxicological class, delay,
clinical
symptoms and ingested dose. It generates accurate monitoring and
treatment advice, addressing also drug interactions and drug exceptions.
The implementation of SETH began in April 1992 in our Poison Control
Center. SETH was then used daily by residents as telephone response
support on drug poisoning. Between April 1992 and October 1994, 2099
cases inputted by residents were analysed by SETH. Since that time
three phases of evaluation have been performed. We conclude from these
that an
expert system in clinical toxicology is a valuable tool in the daily
practice
nof a Poison Control Center.
|
| references |
Darmoni SJ, Massari P, Droy JM, Mahe N, Blanc T, Moirot E, Leroy J.
SETH: an expert system for the management on acute drug poisoning in adults.
Comput Methods Programs Biomed. 1994 Jun;43(3-4):171-6.
[PubMed]
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The aim of SETH is to give end-users specific advice concerning treatment and monitoring of adult drug poisoning. SETH is developed with an off the shelf expert system shell (KBMS) and runs on a microcomputer. Technical choices were done according to this analysis, financial considerations and portability. Currently, the database contains 1000 French drugs from 75 different toxicological classes. The SETH expert system simulates the expert reasoning, taking into account for each toxicological class delay, signs and dose. Two phases of evaluation were performed. The experimental implementation of Seth began in April 1992 in our Poison Control Centre. Since then, 1100 cases inputted by residents were analysed by SETH. The extension of the knowledge base to child poisoning began in March 1993.
" |
Droy, J. M., Darmoni, S. J., Massari, P., Blanc, T., Moritz, F., and Leroy, J. (1993). SETH: An Expert System for the Management on Acute Drug Poisoning.
[]
[CHU-Rouen]
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"
The aim of SETH is to give specific advice concerning the treatment and monitoring of drug poisoning. Currently, the data base contains the 1153 most toxic or most frequently ingested French drugs from 78 different toxicological classes. The SETH expert system simulates expert reasoning, taking into account for each toxicological class, delay, clinical symptoms and ingested dose. It generates accurate monitoring and treatment advice, addressing also drug interactions and drug exceptions. The implementation of SETH began in April 1992 in our Poison Control Center. SETH is then daily used by residents as telephone response support on drug poisoning. Between April 1992 and October 1994, 2099 cases inputted by residents were analysed by SETH. Since that time three phases of evaluation have been performed. We conclude that an expert system in clinical toxicology is a valuable tool in the daily practice of a Poison Control Center (Key Words: Expert system; decision making, computer-assisted; drugs poisoning; adult; child).
" |
SJ. Darmoni, P. Massari, JM. Droy, E. Moirot, J. Leroy.
Functional evaluation of SETH: an expert system in clinical toxicology
Proceedings of the 5th Conference on Artificial Intelligence in Medicine
Europe, P. Barahona, M. Stefanelli, J. Wyatt (Eds), pp 231-238 (Pavia,
Italy, June 1995).
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SJ. Darmoni, P. Massari, JM. Droy, T. Blanc, F. Moritz, N.
Mahé, J. Leroy. From general reasoning in drug poisoning to specific
attitudes in human and in SETH.
Computer as an aid in poison centres, Lille, Décembre 1995.
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"
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P. Darmoni, P. Massari, JM. Droy, T. Blanc, F. Moritz, N.
Mahé, J. Leroy. SETH, an expert system in drug poisoning: five years later.
Computer as an aid in poison centres, Lille, December 1995.
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| contact |
links |
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| acknowledgements |
Archive of AI systems in clinical practice previously administered by Enrico Coiera. Used with permission. Maintained and extended since 2001 by OpenClinical. |
Entry on archive: June 4 1996 Last main update: June 4 1996
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