CPC G06T 7/0012 (2013.01) [G01N 33/66 (2013.01); G06T 5/50 (2013.01); G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01)] | 15 Claims |
1. A method for generating a module configured to determine concentration of an analyte in a sample of a body fluid, the method comprising:
providing a first set of measurement data including first color information derived from images for a region of interest of one or more test strips, the images being indicative of a color transformation of the region of interest in response to applying a body fluid containing an analyte to the region of interest, and the images being recorded by a plurality of devices each configured for image recording and image data processing for generating the first color information, wherein at least some cameras, software and/or hardware device configurations for image recording and image data processing are different among the plurality of devices;
generating a neural network model in a machine learning process applying an artificial neural network, comprising:
providing the neural network model; and
training the neural network model using training data selected from the first set of measurement data; and
generating a software-implemented module comprising a first analyzing algorithm representing the neural network model;
wherein the software-implemented module is configured to determine concentration of an analyte in a second sample of a body fluid from analyzing a second set of measurement data indicative of second color information derived from images for a region of interest of one or more test strips, the images being indicative of a color transformation of the region of interest in response to applying the second sample of the body fluid containing the analyte to the region of interest.
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