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2004 | 13 | 3 |

Tytuł artykułu

Artificial intelligence and primary prevention of health hazards related to changes of elements in the environment

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Some methods of artificial intelligence are evaluated in relation to development of medical elementology and primary prevention of health hazards related to antropogenic changes in the natural environment and the human food chain, diet, etc. Searching for a new paradigm of the cross-disciplinary system approach to nutritional prevention of excess or deficiency of some elements is very time- and cost-consuming task. Using artificial intelligence methods we obtained interesting conclusions on the basis of apparently fully exploited experimental data. Artificial intelligence (data mining and automatic knowledge discovering in particular) seems to be useful for developing interdisciplinary studies on medical elementology focused on application of scientific and technical progress for early detection of environmental health hazards related to excess or deficiency of selected elements in the natural environment, trophic chains and endoecological aspects (referring to possible inbalance of the basic homeostatic system). This cooperation was initiated by the foundating members of the International Union of Elementologists in New Delhi in 1983 and developed by a series of case studies, international conferences and monographs. Integration of studies in ecotoxicology, human ecology, environmental health with application of progress in informatics and environmental biotechnology is promising for more effective protection of health of consumers connected with changes of elements in the human diet and body (including primary prevention of some diseases of civilization).

Wydawca

-

Rocznik

Tom

13

Numer

3

Opis fizyczny

p.349-352,ref.

Twórcy

  • University of Science and Technology, al.Mickiewicza 30, 30-059 Krakow, Poland

Bibliografia

  • 1. DOBROWOLSKI J.W., VOHORA S.B., eds. Ekologizm w ochronie zdrowia; Ossolineum PAN, Wrocław, Kraków, 1989.
  • 2. VOHORA S.B., DOBROWOLSKI J. W.eds. New Horizons of Health Aspects of Elements, Hamdard University, New Delhi, 1990.
  • 3. ANKE M., MULLER R., SCHAFER U., STOEPPLER M. Macro and Trace Elements, 21 Workshop, Schubert Verlag, Leipzig, 2002.
  • 4. SEIFERT M., LANGER U., SCHAFER U., ANKE M.,eds. Mengen-und Spuren-Elemente, Author and Element Index 1981-2000 A Reference Book of 20 Years of Macro, Trace and Ultratrace Elements Research. Schubert Verlag, Leipzig, 2000.
  • 5. POLLET S., ERMIDOU-POLLET S., eds. Trace Elements in Humans: New Perspectives, Proc. Intl. Symposium, University of Athens, Athens, 2001.
  • 6. POLLET S., ERMIDOU-POLLET S., eds. 4th International Symposium on Trace Elements in Humans: New Perspectives, Entypossis, Athens, 2003.
  • 7. TADEUSIEWICZ R.: The Application of Neural Networks in Biotechnology and Biomaterials, Prace Mineralogiczne, 89, Komisja Nauk Mineralogicznych PAN, 9,2000.
  • 8. TADEUSIEWICZ R., DOBROWOLSKI J.W. Artifical intelligence as a tool for development of interdisciplinary study on elements and health. Proceedings Book of 4th International Symposium on Trace Elements in Human: New Perspectives, Pollet S., Ermidou-Pollet S., eds, Entypossis, Athens, pp.13-42, 2003.
  • 9. DOBROWOLSKI J. Cell monitoring of elements . Measurement of elements in single blood cells of healthy and leukaemic people and cattle .Mengen-und Spuren-Elemente, M.Anke et al.,eds. Schubert-Verlag, Leipzig, pp. 469-472, 1990.
  • 10. DOBROWOLSKI J., RÓŻANOWSKI B. The influence of laser light on accumulation of selected macro- trace- and ultratrace-elements by some plants. Mengen-und Spuren-Elemente, M.Anke et al.,eds. Schubert-Verlag, Leipzig, pp. 147-156, 1998.
  • 11. HEIDSIECK C, UHR W, Systematizing and Evaluating Data Mining Methods, in: _Decker R., Gaul W. (ed.), Classification and Information Processing at the Turn of the Millennium, Springer-Verlag, Heidelberg, 2000.
  • 12. BIETHAHN J., NISSEN V.,eds. Evolutionary Algorithms in Managament Applications, Springer Verlag, Berlin, 1995.
  • 13. AZOFF E. M., Neural Network Time Series Forecasting of Financial Markets, John Wiley & Sons, London, 1994.
  • 14. BAESTAENS D. E., van den BERGH W. M., WOOD D., Neural Network Solutions for Trading in Financial Markets, Pitman Publishing, London, 1994.
  • 15. DOBROWOLSKI J.W. Perspectives of application of laser biotechnology in management of the natural environment. Pol. J. Environmental Studies.10, Sup.1, 7, 2001.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-5b6129e0-b5d1-40c8-af5d-35707be5b0e4
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