Patents by Inventor Kristen P. Parton

Kristen P. Parton 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).

  • Publication number: 20240055092
    Abstract: A system and method of using an intelligent telehealth platform to generate a recommended treatment plan based on daypart feedback to treat a malady of a user. The method includes obtaining a user profile dataset of a user. The user profile dataset includes a plurality of user goals for a plurality of dayparts of a day, each daypart of the plurality of dayparts is respectively associated with one or more user goals of the plurality of user goals. The method includes generating a plurality of treatment plans to treat a malady of the user based on the user dataset and a machine learning model trained to predict cannabis treatment responses, each treatment plan is for using one or more cannabis products during a respective daypart of the plurality of dayparts of the day. The method includes transmitting the plurality of treatment plans to a client device.
    Type: Application
    Filed: August 15, 2022
    Publication date: February 15, 2024
    Inventors: David C. Batista, Stacey Batista, Benjamin P. Caplan, Sean J. Collins, Birch Norton, Kristen P. Parton, Christine R. Pillsbury, Geordie McClelland
  • Publication number: 20220238228
    Abstract: A system and method of using an intelligent telehealth platform to generate a recommended treatment plan to treat a malady of a user. The method includes obtaining a user profile dataset associated with a user. The method includes selecting, based on the user profile dataset, a first machine learning model from a set of machine learning models respectively trained to predict cannabis treatment responses. The method includes generating, by a processing device, a recommended treatment plan for using one or more cannabis products to treat a malady of the user based on the user profile dataset and the first machine learning model. The method includes transmitting the recommended treatment plan to a client device to cause the client device to display the recommended treatment plan.
    Type: Application
    Filed: January 19, 2022
    Publication date: July 28, 2022
    Inventors: David C. Batista, Stacey Batista, Benjamin P. Caplan, Sean J. Collins, Birch Norton, Kristen P. Parton
  • Publication number: 20210248512
    Abstract: A machine learning model receives ex post data associated with an entity, the ex post data including one or more performance statistics associated with the entity. An entity profile including one or more properties associated with the entity is received. A predicted performance of the entity at a future time is generated based on the ex post data and the entity profile.
    Type: Application
    Filed: February 5, 2021
    Publication date: August 12, 2021
    Inventors: John A. Calabrese, Sean J. Collins, Stephen H. Dow, Konstantin Novakivsky, Kristen P. Parton, David C. Batista, Shane P. Garvey, Matthew N. Howell, Evan S. Lavidor