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

Claim 16:
17. A system comprising:
(a) a processor; and
(b) a non-transitory computer readable medium tangibly encoded with software comprising a plurality of machine learning algorithms together with instructions configured to cause the processor to:
i) receive data related to a specimen taken from an individual, the data indicating the specimen according to a time period;
ii) consolidate the plurality of machine learning algorithms into an ensemble of machine learning algorithms;
iii) provide the data as input to the ensemble of machine learning algorithms;
iv) generate, via execution of the ensemble of machine learning algorithms, an assessment of one or more traits of the individual according to the time period by:
a. analyzing, via execution of the ensemble of machine learning algorithms, the data provided as input, the analysis comprising identifying the one or more traits 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, one or more biomarker associated with the individual, the at least one biomarker corresponding to the one or more 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 assessment in accordance with information related to the likelihood determined via an output of the ensemble of machine learning algorithms;

v) analyze, via the ensemble of machine learning algorithms, the assessment;
vi) generate, based on the analysis of the assessment, a displayable evaluation report, the evaluation report comprising functionality for an intuitive visualization of the assessment according to the time period, the evaluation report further comprising information related to a treatment for at least one condition associated with the assessment and
vii) cause display, on a display of a device, of the evaluation report thereby providing the functionality for the intuitive visualization of the assessment, 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 assessment of the identified biomarkers via the ensemble of machine learning algorithms.