Patent ID: 11959916
Assignee: nan
Field: Measurement (Instruments)
Classification: CPC G  Y | IPC G

Claim 0:
1. A method for treating or preventing a disease and/or symptom of a subject based upon supplied immunodynamics-related information, said method comprising:
(a) supplying immunodynamics-related information to a computer by:
(i) determining cell-count of each of multiple types of immunocompetent cells in blood collected from a subject;
(ii) calculating via the computer a discriminant score by assigning the determined cell-count of each of multiple types of immunocompetent cells in blood collected from the subject into a discriminant function;
(iii) determining a group into which the subject is to be sorted by the calculated discriminant score;
(iv) displaying on the computer immunodynamics-related information of the determined group,

wherein;
the discriminant function is obtained by performing a discriminant analysis on the computer for a data cluster containing data of the condition of an individual and the cell-count of each of multiple types of immunocompetent cells in blood collected from the individual in a number that allows for the discriminant analysis, wherein the condition of the individual is set an objective variable and the multiple types of immunocompetent cells are set as explanatory variables; and
the group into which the subject is to be sorted is one of the multiple groups that are divided from the data cluster used for obtaining the discriminant function using discriminant scores as indicator; and

(b) selecting and administering a therapy or prophylaxis for a disease and/or symptom of the subject based upon the displayed immunodynamics-related information of the determined group for the subject, wherein the immunodynamics-related information is obtained by:
(v) performing a multiple regression analysis via the computer for data of the cell-counts of n types of immunocompetent cells that constitute one group, wherein one type of immunocompetent cell among the n types of immunocompetent cells is set as an objective variable and n-1 types of immunocompetent cells excluding the one type of immunocompetent cell that is set as the objective variable are set as explanatory variables, and wherein n is an integer of 4 or more;
(vi) ranking the n-1 types of immunocompetent cells in descending order according to the magnitude of the absolute value of the standard partial regression coefficient obtained from the multiple regression analysis;
(vii) performing a regression analysis via the computer in which the one type of immunocompetent cell that is the objective variable in (v) above is set as an objective variable and the immunocompetent cell that is ranked as the first place in
(vi) above is set as explanatory variable, calculating the contribution ratio α1 which is considered as the influence degree of the first-place ranked immunocompetent cell β1; and
(viii) performing a multiple regression analysis via the computer in which the one type of immunocompetent cell that is the objective variable in (vi) above is set as an objective variable and m types of immunocompetent cells from the first to the m-th place ranked in (vii) above are set as explanatory variables, calculating the contribution ratio αm, and calculating the influence degree βm of the immunocompetent cell ranked as m-th place by the following formula:

βm=αm−αm−1 

for each of the immunocompetent cells ranked from the second to the m-th place; wherein m is more than 3 and up to n-1.