MACHINE LEARNING ALLERGY RISK DIAGNOSIS DETERMINATION

    公开(公告)号:US20190156925A1

    公开(公告)日:2019-05-23

    申请号:US15841443

    申请日:2017-12-14

    Abstract: A method for improving a machine learning allergy diagnosis process is provided. The method includes identifying databases comprising data identifying menu items served by food establishments. Allergy data defining a food products associated with potential allergens is analyzed in real time and in response, baseline allergen indication software code for defining an allergen baseline indicator is generated. Ingredients of the menu items are analyzed with respect to the allergy data and allergen baseline levels for the ingredients determined. An allergen baseline level for each menu item is determined and an allergen alert software application for alerting a user with respect to each overall allergen assessment is generated.

    MACHINE LEARNING ALLERGY RISK DIAGNOSIS DETERMINATION

    公开(公告)号:US20190155992A1

    公开(公告)日:2019-05-23

    申请号:US15817485

    申请日:2017-11-20

    Abstract: A system for improving a machine learning allergy diagnosis process is provided. The system implements a method that includes identifying databases comprising data identifying menu items served by food establishments. Allergy data defining a food products associated with potential allergens is analyzed in real time and in response, baseline allergen indication software code for defining an allergen baseline indicator is generated. Ingredients of the menu items are analyzed with respect to the allergy data and allergen baseline levels for the ingredients determined. An allergen baseline level for each menu item is determined and an allergen alert software application for alerting a user with respect to each overall allergen assessment is generated.

    DYNAMIC 3D PRINTING-BASED MANUFACTURING
    116.
    发明申请

    公开(公告)号:US20180341249A1

    公开(公告)日:2018-11-29

    申请号:US15849067

    申请日:2017-12-20

    Abstract: In an approach to dynamic manufacturing, one or more computer processors receive an indication of intent to purchase a product. The one or more computer processors identify a set of specifications associated with the product. The one or more computer processors determine required product specification parameters based on the one or more product specifications. The one or more computer processors identify three dimensional printing-based manufacturers within a threshold proximity to a delivery location of the product. The one or more computer processors determine whether the identified three dimensional printing-based manufacturers can create the product meeting the determined required product specification parameters. The one or more computer processors send a list of three dimensional printing-based manufacturers that can create the product.

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