Systems and methods for improving diseases diagnosis

A computer-implemented method for using an evaluative model to indicate a probability of a disease state for a metabolic disease in a patient under examination, the method comprising:

• receiving a first set of concentration values of a first analyte from a first set of samples from patients with a not-disease diagnosis for the metabolic disease;
• receiving a second set of concentration values of the first analyte from a second set of samples from patients with a disease diagnosis for the metabolic disease, wherein the first set and second set of samples comprise a training set of samples;
• calculating a mean value of concentration of the first analyte from the first set of concentration values;
• calculating a mean value of concentration of the first analyte from the second set of concentration values;
• computing a midpoint value of concentration between the mean value of the first set of concentration values and the mean value of the second set of concentration values;
• calculating a first proximity score representing the mean value of concentration of the first set of analytes, said calculation comprising normalizing age drift in transition between the disease state for the metabolic disease and non-disease state for the metabolic disease and dampening outlier concentrations in the training set of samples;
• calculating a second proximity score representing the mean value of concentration of the second set of analytes, said calculation comprising normalizing age drift in transition between the disease state for the metabolic disease and non-disease state for the metabolic disease and dampening outlier concentrations in the training set of samples;
• deriving a midpoint proximity score representing the derived midpoint of the mean values of concentration of the first and second sets of analytes;
• and
• mapping the concentrations of the training set of samples into a range of proximity scores between the first proximity score and the second proximity score to complete the evaluative model, wherein the evaluative model diagnoses the disease state for the metabolic disease of a patient under examination;
• and
• administering a treatment for the diagnosed disease state for the metabolic disease of the patient under examination in accordance with the disease state diagnosed by the evaluative model, wherein the metabolic disease diagnosed is at an initial stage.