1. A medical analytics method implemented on a computer for diagnosing at least one disease (i) afflicting a patient based on clinical data (m) that excludes subjective qualities of said clinical data (m) and excludes prevalence of said at least one disease (i), said method comprising: 1) compiling into the computer a knowledge base of disease (i) models exhibiting said clinical data (m), where there is more than 1 total number of disease (i) cases; 2) inputting into the computer clinical data present (j) in said patient; 3) matching by the computer said clinical data present (j) with said clinical data (m) in said knowledge base; 4) composing by the computer a differential diagnosis list of ruled in diagnoses (k) for each of said disease (i) models exhibiting at least one clinical datum (m) matching at least one clinical datum present (j); 5) calculating by the computer a probability P(k) for each of said ruled in diagnoses (k) by a mini-max procedure comprising the following sequential steps: 5a) obtaining sensitivities S(i) m of each of said clinical data (m) for diseases (i) based on disease (i) models that comprise a total number of disease (i) cases where the sensitivities S(i) m are obtained using: ⁢ S ⁡ ( i ) m = number ⁢ ⁢ of ⁢ ⁢ disease ⁡ ( i ) ⁢ ⁢ cases ⁢ manifesting ⁢ ⁢ clinical ⁢ ⁢ datum ⁡ ( m ) total ⁢ ⁢ number ⁢ ⁢ of ⁢ ⁢ disease ⁡ ( i ) ⁢ ⁢ cases ; 5b) determining positive predictive values PP(k) j for clinical data present (j) supporting each of said ruled in diagnoses (k) where the positive predictive values PP(k) j are determined using: ⁢ PP ⁡ ( k ) j = S ⁡ ( k ) j S ⁡ ( 1 ) j + … + S ⁡ ( k ) j + … + S ⁡ ( n ) j , where S(k) j are sensitivities of each clinical datum present (j) to said diagnoses (k), and n is the number of said ruled in diagnoses (k); 5c) assigning as probability P(k) of each ruled in diagnosis (k) the maximum value among said positive predictive values PP(k), through PP(k) z where the probabilities P(k) are assigned using: 
 P ( k )=max( PP ( k ) 1 , PP ( k ) 2 ,. .. , PP ( k ) z ), where z is the number of said ruled in diagnoses (j); and 6) displaying on the computer said differential diagnosis list and said probability P(k) for each diagnosis (k) on a display for medical analytics; and where steps 1 through 6 are performed in the numerical order.