Patent ID: 11894139
Assignee: PATIENTSLIKEME LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A computer implemented method comprising:
(a) receiving, by a device, data relating to a specimen taken from an individual, the data indicating the specimen according to a time period;
(b) consolidating, by the device, a plurality of machine learning algorithms into an ensemble of machine learning algorithms;
(c) providing, by the device, the data as input to the ensemble of machine learning algorithms;
(d) generating, by the device executing the ensemble of machine learning algorithms, a classification of the individual relative to a plurality of related classifications by:
a. analyzing, via execution of the ensemble of machine learning algorithms, the data provided as input, the analysis comprising identifying at least one trait of the individual identified from the data via the ensemble of machine learning algorithms performing feature selection;
b. determining, based on the analysis via the ensemble of machine learning algorithms, at least one biomarker associated with the individual, the at least one biomarker corresponding to the at least one trait;
c. analyzing, via further execution of the ensemble of machine learning algorithms, the at least one biomarker, the analysis of the at least one biomarker corresponding to an automated feature selection process based on a set of gene ontology tags;
d. determining, based on the analysis of the at least one biomarker via the ensemble of machine learning algorithms, a likelihood of a disease over the time period; and
e. generating the classification in accordance with information related to the likelihood determined via an output of the ensemble of machine learning algorithms;

(e) analyzing, by the device via the ensemble of machine learning algorithms, the generated classification;
(f) generating, by the device, based on the analysis of the generated classification, a displayable evaluation report, the evaluation report comprising functionality for an intuitive visualization of the classification according to the time period, the evaluation report further comprising information related to a treatment for at least one condition associated with the classification; and
(g) causing display, on a display associated with the device, of the evaluation report thereby providing the functionality for the intuitive visualization of the classification, the intuitive visualization providing functionality for tracking and monitoring the individual as the treatment progresses and updating the display of the evaluation report to visibly display an impact of the treatment on the at least one condition, wherein the impact is determined based on further analysis of the generated classification of the identified biomarkers via the ensemble of machine learning algorithms.