	US 12,278,003 B2
	Automatic selection of optimal graphs with robust geometric properties in graph-based discovery of geometry of clinical data
Sergey Glushakov, Orlando, FL (US); Kostiantyn Drach, Barcelona (ES); Viktoriia Shevtsova, Kharkov (UA); Iryna Kotenko, Kharkov (UA); Lyudmyla Polyakova, Kharkov (UA); and Oleksandr Leonov, Kharkov (UA)
Assigned to INTEGO GROUP, LLC, Maitland, FL (US)
Filed by INTEGO GROUP, LLC, Maitland, FL (US)
Filed on Oct. 16, 2023, as Appl. No. 18/380,213.
Application 18/380,213 is a continuation in part of application No. 17/380,472, filed on Jul. 20, 2021, granted, now 11,789,970.
Application 17/380,472 is a continuation in part of application No. 16/147,640, filed on Sep. 29, 2018, granted, now 11,069,447, issued on Jul. 20, 2021.
Prior Publication US 2024/0047022 A1, Feb. 8, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 10/20 (2018.01)

CPC G16H 10/20 (2018.01)

20 Claims

1. A method for automatic selection of an optimal graph in graph-based discovery of geometry of clinical data, the method comprising:

receiving vectors of outcomes of trial subjects;

generating, based on the vectors of outcomes, a plurality of metric graphs, wherein:

each of the metric graphs includes a same set of nodes corresponding to the vectors of outcomes; and

the nodes are selectively connected based on a first criterion, the first criterion being based on a set of parameters, the set of parameters being uniquely selected, from a plurality of sets of parameters, for each of the metric graphs;

determining, based on the plurality of metric graphs and a second criterion, an aggregated graph and a subset of the plurality of metric graphs;

selecting, from the subset of the plurality of metric graphs and based on a third criterion, an optimal graph; and

displaying a graphical representation of the optimal graph.