Knowledge generating in expert systems as support of immunological investigations.
One of the most important parameters in immunologic investigations linked with the analysis of TIL phenotypic characteristics is the ratio between particular populations and subpopulations of TIL. Values of exact parameter are not obtained with its direct measurement but with indirect measurement of values in its numerator and its denominator that represent mean values of absolute TIL figures. Exactness of estimate of specific parameter is obtained by determining the intervals of values where this parameter should lie. Determination of confidence intervals for relationship between particular populations and subpopulations of TIL was performed using Fieller's theorem which full filled requests from the nature and process of obtaining exact parameter. By analyzing the obtained confidence intervals informations can be obtained regarding TIL phenotypic characteristics of various histologic types of tumors and various types of intervals within, as well as changes in TIL content that are occurring in malignant tumors.
Biljana
M
M
Department of Statistics, Medical Faculty, Kragujevac, Yugoslavia.
Jelena
M
M
Milorad
R
R
Branislav
J
J
Nebojsa
A
A
D001185:Artificial Intelligence; D016001:Confidence Intervals; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D019084:Fluorescent Antibody Technique, Indirect; D006801:Humans; D016130:Immunophenotyping; D016246:Lymphocytes, Tumor-Infiltrating / Q000276:immunology*; D009369:Neoplasms / Q000175:diagnosis / Q000276:immunology*