Veterinary Toxicology Information System

• Autorzy: Kluza A.
• Konferencja: Computers in Medical Applications: XIIIth Biocybernetics and Biomedical Engineering Conference (10-13 September 2003, Gdańsk, Poland)
• Języki publikacji: EN

Abstrakty

EN

A Veterinary Toxicology Information System project has been started in Poland due to the country's growing needs in the field of veterinary toxicological remote consultations. An application designed to be accessed by veterinary surgeons will help them in poisoning diagnoses. Various data mining, classification and statistical/analytical methods will be available in the system for toxicology researchers.

Słowa kluczowe

EN

toxicology; database; veterinary medicine

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2004
• Tom: Vol. 8, No 2
• Strony: 297--301
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Kluza A.

• Department of Econometrics and Computer Sciences, Faculty of Agricultural Economics, Warsaw Agricultural University, Nowoursynowska 159, 02-787 Warsaw, Poland

Bibliografia

• [1] Janczyk P and Wiechetek M 2002 Proc. 7 th Scientific Congress of Polish Society of Toxicology, Lodz, Poland, p. 63 (in Polish)
• [2] Berkhin P 2002 Survey of Clustering Data Mining Techniques, Accrue Software, Inc., San Jose, CA, http://www.accrue.com/products/rp cluster review.pdf
• [3] Nałęcz M (Ed.) 2002 Biocybernetics and Biomedical Engineering 2000, Polish Academy of Sciences Monography “Computer and Telematic Systems” 7, Exit, Warsaw (in Polish)
• [4] Dobosz M 2001 Computer Assisted Analysis of Experimental Data, Exit, Warsaw, pp. 337–353 (in Polish)
• [5] 1996 Casarett and Dull’s Toxicology. The Basic Science of Poisons, (Klaassen C D, Amdur M O and Doull J, Eds.), 5th Edition, McGraw-Hill Companies, Inc., New York
• [6] Garwacki S and Wiechetek M 1994 General Veterinary Toxicology, Warsaw Agricultural University Publishing, Warsaw (in Polish)
• [7] Gatnar E 1998 Symbolic Methods for Data Classification, PWN, Warsaw (in Polish)
• [8] Richter M M and Althoff K D 1999 Similarity and Utility in Non-Numerical Domains, Mathematische Methoden der Wirtschaftswissenschaften, Physika-Verlag, Heidelberg, pp. 403–413, http://www.cbr-web.org/documents/RichterSimilarity99.pdf