Patents by Inventor Allison G. Martinez-Arocho

Allison G. Martinez-Arocho has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11133108
    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.
    Type: Grant
    Filed: December 14, 2017
    Date of Patent: September 28, 2021
    Assignee: International Business Machines Corporation
    Inventors: Allison G. Martinez-Arocho, Randy A. Rendahl, Jocelyn Sese, Ashley K. Silva
  • Patent number: 11133107
    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.
    Type: Grant
    Filed: November 20, 2017
    Date of Patent: September 28, 2021
    Assignee: International Business Machines Corporation
    Inventors: Allison G. Martinez-Arocho, Randy A. Rendahl, Jocelyn Sese, Ashley K. Silva
  • Publication number: 20190155992
    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.
    Type: Application
    Filed: November 20, 2017
    Publication date: May 23, 2019
    Inventors: Allison G. Martinez-Arocho, Randy A. Rendahl, Jocelyn Sese, Ashley K. Silva
  • Publication number: 20190156925
    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.
    Type: Application
    Filed: December 14, 2017
    Publication date: May 23, 2019
    Inventors: Allison G. Martinez-Arocho, Randy A. Rendahl, Jocelyn Sese, Ashley K. Silva