Abstract: Methods of identifying altered leukocyte profiles are disclosed. In one embodiment, counts or relative percentages of leukocyte cell types are received and constitute input data points. Combinations of input data points are generated. Pairs of input data points and combinations are generated. Secondary data values are generated from the pairs. Three-dimensional plots are then constructed and selected as useful for identifying an altered leukocyte profile through pattern recognition of perpendicular data inflection, data bifurcation, non-overlapping data clusters, or combinations thereof. Such a strategy results in partially or totally non-overlapping data subsets, which are then interpreted.

Abstract: Methods of identifying altered leukocyte profiles are disclosed. In one embodiment, counts or relative percentages of leukocyte cell types are received and constitute input data points. Combinations of input data points are generated. Pairs of input data points and combinations are generated. Secondary data values are generated from the pairs. Three-dimensional plots are then constructed and selected as useful for identifying an altered leukocyte profile through pattern recognition of perpendicular data inflection, data bifurcation, non-overlapping data clusters, or combinations thereof. Such a strategy results in partially or totally non-overlapping data subsets, which are then interpreted.

Abstract: The present invention relates to a means for determining if mammals within a group of mammals is affected by an infection that induces or could induce inflammation, if the mammal is likely to recover or not and if infected whether the mammal should be treated or let to recover untreated. By differentiating infected mammals in a group into different subsets representing differing stages of the progress of the disease the present invention teaches how to prognosticate with continuous data the outcome of a treatment/no treatment decision.

Abstract: The present invention relates to a means for determining if mammals within a group of mammals is affected by an infection that induces or could induce inflammation, if the mammal is likely to recover or not and if infected whether the mammal should be treated or let to recover untreated. By differentiating infected mammals in a group into different subsets representing differing stages of the progress of the disease the present invention teaches how to prognosticate with continuous data the outcome of a treatment/no treatment decision.

Abstract: The present invention relates to a method for predicting outcome and evaluation of clusters. Particularly the invention relates to a method of determining deviation and predict future out comes of clusters with certain attributes. In one embodiment, the present invention relates to epidemic outbreaks of disease and, more particularly, to a method for predicting the spread thereof.

Abstract: The present invention discloses a method for detection and prediction of mastitis. The method comprises the steps of determining the values of mastitis indicators and comparing the values with predetermined standards, wherein deviation from the standards provides a measure of mastitis.