1. A method for simultaneously processing different categories of source data into informational data, and then processing different groups of informational data into knowledge-based data in a first computer or in a plurality of computers, the method comprising: acquiring a plurality of sets of source data within a first category of data for at least one test subject or process; processing the sets of source data within the first category utilizing a first occurrence of a first-tier computer program executing on a first computer in the first computer system to produce a first group of informational data; processing the sets of source data within a second category of data utilizing a second occurrence of a first-tier computer program executing on either the first computer or another computer in the first computer system to produce a second group of informational data; wherein the processing of the sets of source data within the first category and within the second category includes a non-linear statistical analysis of the source data further comprising computing at least two distribution functions from connected phase space data, computing at least one measure of dissimilarity between at least two of distribution functions, and comparing said measure of dissimilarity to a threshold for a number of occurrences to indicate a condition change in said measure of dissimilarity to provide a forewarning of a condition change; processing the first group and the second group of informational data with a second-tier computer program executing on either the first computer or another computer to produce knowledge-based data; and transmitting at least one of the source data, the informational data and the knowledge-based data from the first computer to a second computer having other source data, informational data or knowledge-based data for evaluation with the data from the first computer.