Patents by Inventor Maria Dibari

Maria Dibari 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).

  • Automatic detection of mental health condition and patient classification using machine learning
    Patent number: 11581093
    Abstract: Methods and systems are provided for detecting a mental health condition. Structured and unstructured information is analyzed using natural language processing to extract information including clinical data values and medical concepts pertaining to a user. Reference medical information is evaluated using natural language processing to correlate medical data with mental health conditions. A classification for a mental health condition of the user is determined using a machine learning model and based on the extracted information and correlations, wherein the extracted information includes blood analysis for the user. The user is assigned to a segment of users based on the extracted information. A treatment for the mental health condition of the user is indicated based on the classification and the assigned segment of users.
    Type: Grant
    Filed: September 19, 2019
    Date of Patent: February 14, 2023
    Assignee: MERATIVE US L.P.
    Inventors: Maria Dibari, Alonso Diaz
  • AUTOMATIC DETECTION OF MENTAL HEALTH CONDITION AND PATIENT CLASSIFICATION USING MACHINE LEARNING
    Publication number: 20210090733
    Abstract: Methods and systems are provided for detecting a mental health condition. Structured and unstructured information is analyzed using natural language processing to extract information including clinical data values and medical concepts pertaining to a user. Reference medical information is evaluated using natural language processing to correlate medical data with mental health conditions. A classification for a mental health condition of the user is determined using a machine learning model and based on the extracted information and correlations, wherein the extracted information includes blood analysis for the user. The user is assigned to a segment of users based on the extracted information. A treatment for the mental health condition of the user is indicated based on the classification and the assigned segment of users.
    Type: Application
    Filed: September 19, 2019
    Publication date: March 25, 2021
    Inventors: Maria Dibari, Alonso Diaz