Patent ID: 11887733
Assignee: nan
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 2:
3. A computer implemented method for evaluating one of a plurality of unique diagnostic devices, the method comprising:
a. capturing a digital image of each one of the plurality of unique diagnostic devices to produce a corresponding unique digital image for each one of the plurality of unique diagnostic devices, wherein each one of the plurality of unique diagnostic devices includes a drug panel, and wherein each one of the plurality of unique diagnostic devices includes an encoded identifier, wherein capturing a digital image of each one of the plurality of unique diagnostic devices includes taking a digital image of the drug panels to produce corresponding unique digital image of each one of the plurality of spatially separated optically detectable signal test strips,
b. grouping the plurality of unique digital images of the plurality of unique diagnostic devices to generate a plurality of groups of unique digital images of the unique diagnostic devices, wherein each group of digital images of unique diagnostic devices is limited to related diagnostic devices,
c. generating a unique machine learning model for each group of digital images of unique diagnostic devices,
d. assigning a distinct machine learning model group identifier for each unique machine learning model for each group of digital images of unique diagnostic devices,
e. generating a plurality of groups of digital images of the drug panels, wherein each group of digital images of the drug panels is limited to related diagnostic devices,
f. generating a unique machine learning model for each group of the drug panels,
g. separating each unique machine learning model for each group of digital images of drug panels into a grid, wherein each module of the grid represents a specific drug control variable,
h. using a camera enabled device to capture a digital image of an active diagnostic device to be read, wherein the active diagnostic device to be read is of similar construction to the plurality of unique diagnostic devices, wherein the active diagnostic device to be read includes a unique active diagnostic device encoded identifier, wherein the active diagnostic device includes multiple drug panels,
i. capturing a digital image of the active diagnostic device multiple spatially separated optically detectable signal test strips, wherein a portion of the digital image of the active diagnostic device includes a digital image of the drug panels,
j. decoding the active diagnostic device encoded identifier to receive a decoded active diagnostic device identifier,
k. selecting at least one of the unique machine learning models for at least one of the groups of digital images of unique diagnostic devices by matching the decoded active diagnostic device identifier to at least one of the distinct machine learning model group identifiers,
l. separating the digital image of the active diagnostic device drug panel, wherein each module of the active diagnostic device drug panel grid is a digital representation of at least a portion of each one of the drug panels, and
m. comparing at least one module of the digital image of the active diagnostic device drug panel to at least one of the modules of grids of specific drug control variables to determine a concentration of analytes in at least one of the active diagnostic device multiple spatially separated optically detectable test strips.