Patents by Inventor Shailly Saxena

Shailly Saxena 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).

  • Prediction of healthcare outcomes and recommendation of interventions using deep learning
    Patent number: 11915127
    Abstract: A system includes first, second and third input data sets. The first input data set includes demographic information characterizing a patient. The second and third input data sets characterize a healthcare treatment history of the patient. A neural network includes first, second and third neural subnetworks. The first neural subnetwork is configured to process the first input data set to produce a first output data set. The second neural subnetwork is configured to process the second input data set to produce a second output data set. The third neural subnetwork is configured to process the third input data set to produce a third output data set. An autoencoder layer has an input layer comprising the first, second and third output data sets and is configured to process the first, second and third output data sets to produce a secondary output data set.
    Type: Grant
    Filed: August 3, 2019
    Date of Patent: February 27, 2024
    Assignee: Edifecs, Inc.
    Inventors: Kanaka Prasad Saripalli, Frank Lucas Wolcott, Paul Raymond Dausman, Shailly Saxena, William Lee Clements
  • PREDICTION OF HEALTHCARE OUTCOMES AND RECOMMENDATION OF INTERVENTIONS USING DEEP LEARNING
    Publication number: 20200356846
    Abstract: A system includes first, second and third input data sets. The first input data set includes demographic information characterizing a patient. The second and third input data sets characterize a healthcare treatment history of the patient. A neural network includes first, second and third neural subnetworks. The first neural subnetwork is configured to process the first input data set to produce a first output data set. The second neural subnetwork is configured to process the second input data set to produce a second output data set. The third neural subnetwork is configured to process the third input data set to produce a third output data set. An autoencoder layer has an input layer comprising the first, second and third output data sets and is configured to process the first, second and third output data sets to produce a secondary output data set.
    Type: Application
    Filed: August 3, 2019
    Publication date: November 12, 2020
    Inventors: Kanaka Prasad Saripalli, Frank Lucas Wolcott, Paul Raymond Dausman, Shailly Saxena, William Lee Clements