In this paper disease distrubution was modelling by randomize method. Cancer distribution in human population was modelling by polynomal distribution probability model. By the derived model virtual experiments of cancer tissue investigation were simulated. The method consists from data collecting about experimental diagnostics, experimental design establishing, selection of mathematical description, parameters estimation, and model adequate examination. How do you seek out sampling function is one of the basic task of modelling this medical system. It is very important how are estimation distribution parameters performed and how defined operation variables according to selected object function. As results of the repeted measurements for the most real experiments different values of measured quantities are obtained.
Keywords:
Diagnostic / population / probability / distribution / cancer / sample taking
Source:
Proceedings of the 2nd Wseas International Conference on Biomedical Electronics and Biomedical Infor, 2009, 82-+
Publisher:
World Scientific And Engineering Acad And Soc, Athens
TY - CONF
AU - Lukić, Jelena
PY - 2009
UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/1523
AB - In this paper disease distrubution was modelling by randomize method. Cancer distribution in human population was modelling by polynomal distribution probability model. By the derived model virtual experiments of cancer tissue investigation were simulated. The method consists from data collecting about experimental diagnostics, experimental design establishing, selection of mathematical description, parameters estimation, and model adequate examination. How do you seek out sampling function is one of the basic task of modelling this medical system. It is very important how are estimation distribution parameters performed and how defined operation variables according to selected object function. As results of the repeted measurements for the most real experiments different values of measured quantities are obtained.
PB - World Scientific And Engineering Acad And Soc, Athens
C3 - Proceedings of the 2nd Wseas International Conference on Biomedical Electronics and Biomedical Infor
T1 - Disease distribution modelling
EP - +
SP - 82
ER -
@conference{
author = "Lukić, Jelena",
year = "2009",
url = "http://TechnoRep.tmf.bg.ac.rs/handle/123456789/1523",
abstract = "In this paper disease distrubution was modelling by randomize method. Cancer distribution in human population was modelling by polynomal distribution probability model. By the derived model virtual experiments of cancer tissue investigation were simulated. The method consists from data collecting about experimental diagnostics, experimental design establishing, selection of mathematical description, parameters estimation, and model adequate examination. How do you seek out sampling function is one of the basic task of modelling this medical system. It is very important how are estimation distribution parameters performed and how defined operation variables according to selected object function. As results of the repeted measurements for the most real experiments different values of measured quantities are obtained.",
publisher = "World Scientific And Engineering Acad And Soc, Athens",
journal = "Proceedings of the 2nd Wseas International Conference on Biomedical Electronics and Biomedical Infor",
title = "Disease distribution modelling",
pages = "+-82"
}
Lukić, J. (2009). Disease distribution modelling.
Proceedings of the 2nd Wseas International Conference on Biomedical Electronics and Biomedical Infor
World Scientific And Engineering Acad And Soc, Athens., 82-+.
Lukić J. Disease distribution modelling. Proceedings of the 2nd Wseas International Conference on Biomedical Electronics and Biomedical Infor. 2009;:82-+
Lukić Jelena, "Disease distribution modelling" Proceedings of the 2nd Wseas International Conference on Biomedical Electronics and Biomedical Infor (2009):82-+
