376 patents
Page 12 of 19
Utility
Predictive Monitoring of the Glucose-insulin Endocrine Metabolic Regulatory System
10 Feb 22
There is a need for more effective and efficient predictive data analysis, such as more effective and efficient data analysis solutions for performing predictive monitoring of the glucose-insulin endocrine metabolic regulatory system.
Rachel Lauren Jennings, Steven Catani, Cody James Lensing, Jonathan Michael Rolfs, Alex Taub Bacon
Filed: 5 Aug 20
Utility
Predictive Monitoring of the Glucose-insulin Endocrine Metabolic Regulatory System
10 Feb 22
There is a need for more effective and efficient predictive data analysis, such as more effective and efficient data analysis solutions for performing predictive monitoring of the glucose-insulin endocrine metabolic regulatory system.
Rachel Lauren Jennings, Jonathan Michael Rolfs, Alex Taub Bacon
Filed: 5 Aug 20
Utility
Dynamic Allocation of Resources In Surge Demand
3 Feb 22
Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for optimized resource transformation given a set of resource optimization parameters.
Vicente Ruben Del Pino Ruiz, Hendrik Kleine
Filed: 15 Jan 21
Utility
Systems and Methods for Conditional Remote Unlocking of Identified Containers
27 Jan 22
Access to a container may be controlled by receiving a container identifier provided from a container identification module associated with the container; determining access criteria for the container; receiving a provider authorization signal generated based on user input received via a provider user interface; receiving biosensor signals generated by biosensors associated with a user; receiving historical access data associated with the user, wherein the historical access data indicates one or more objects historically accessed by user; determining whether the provider authorization signal, the one or more biosensor signals, and the historical access data satisfy the access criteria for the container; and upon determining the access criteria for the container are satisfied, generating a signal causing an unlocking mechanism to unlock the container.
Jennie Audrey Ehlert, Andrew Tsong-Bo Cheng, Emre Charles Adabag, Samantha Roberta Detor, Steven J. Catani
Filed: 29 Oct 20
Utility
Systems and Methods for Parallel Execution of Program Analytics Utilizing a Common Data Object
27 Jan 22
An analytics platform for analyzing medical claims with low latency is configured to compress medical claims records into common data input objects that may be usable by a plurality of independent and parallel program analytics.
Chris Celka, Cristian Robinson Rojas, Gogi Kshitij Singh, Jothi Sudhagar Ravindran, Mayank Kumar
Filed: 12 Oct 21
Utility
Categorical Input Machine Learning Models
27 Jan 22
There is a need for more effective and efficient predictive data analysis based at least in part on categorical input data.
Lorcan B. Mac Manus, Peter Cogan, Conor Breen
Filed: 24 Jul 20
Utility
Categorical Input Machine Learning Models
27 Jan 22
There is a need for more effective and efficient predictive data analysis based at least in part on categorical input data.
Lorcan B. Mac Manus, Peter Cogan, Conor Breen
Filed: 24 Jul 20
Utility
Predictive Category Certification
27 Jan 22
There is a need for more effectively and efficiently performing predictive data analysis to determine associations between input data objects and predictive categories This need can be addressed by, for example, solutions for performing predictive data analysis to determine associations between input data objects and predictive categories that utilize at least one of accuracy scores for predictive categories, evidentiary scores for predictive categories, and predicted certification statuses for claim data objects.
William M. Parrish, Michael J. DeTolla, Lorri S. Sides, Mark L. Morsch, Jason R. Robinson, Mary Lisa Woods, Ryan A. Breisach, Gina Marie Joyce, Brian C. Potter, Anwen V. Fredriksen, Amber L. Drsata
Filed: 26 Jul 21
Utility
Categorical Input Machine Learning Models
27 Jan 22
There is a need for more effective and efficient predictive data analysis based at least in part on categorical input data.
Lorcan B. Mac Manus, Peter Cogan, Conor Breen
Filed: 24 Jul 20
Utility
Systems and Methods for Automated Document Image Orientation Correction
27 Jan 22
Systems and methods are configured for correcting the orientation of an image data object subject to optical character recognition (OCR) by receiving an original image data object, generating initial machine readable text for the original image data object via OCR, generating an initial quality score for the initial machine readable text via machine-learning models, determining whether the initial quality score satisfies quality criteria, upon determining that the initial quality score does not satisfy the quality criteria, generating a plurality of rotated image data objects each comprising the original image data object rotated to a different rotational position, generating a rotated machine readable text data object for each of the plurality of rotated image data objects and generating a rotated quality score for each of the plurality of rotated machine readable text data objects, and determining that one of the plurality of rotated quality scores satisfies the quality criteria.
Rahul Bhaskar, Daryl Seiichi Furuyama, Daniel William James
Filed: 22 Jul 20
Utility
Categorical Input Machine Learning Models
27 Jan 22
There is a need for more effective and efficient predictive data analysis based at least in part on categorical input data.
Lorcan B. Mac Manus, Peter Cogan, Conor Breen
Filed: 24 Jul 20
Utility
Categorical Input Machine Learning Models
27 Jan 22
There is a need for more effective and efficient predictive data analysis based at least in part on categorical input data.
Lorcan B. Mac Manus, Peter Cogan, Conor Breen
Filed: 24 Jul 20
Utility
Predictive Data Analysis Techniques for Cross-temporal Anomaly Detection
20 Jan 22
There is a need for more effective and efficient predictive anomaly detection.
Daniel William James, Rahul Bhaskar, Daryl Seiichi Furuyama
Filed: 17 Jul 20
Utility
Graph Convolutional Anomaly Detection
30 Dec 21
There is a need for more effective and efficient anomaly detection.
Parker J. Erickson, Gerald Liu, Rex Shen, Devin Uner, George L. Williams, Zachary Babcock, Lydia M. Narum
Filed: 30 Jun 20
Utility
Predictive Prompt Generation by an Automated Prompt System
30 Dec 21
Systems and methods are configured for predictive prompt generation for an interaction between a party and an automated prompt system.
Gregory Buckley, Jack Sullivan, Damian Kelly, Mariah Sonja Pereira Penha, Bruno Ohana
Filed: 25 Jun 20
Utility
Predictive Data Analysis Techniques Using Bidirectional Encodings of Structured Data Fields
30 Dec 21
There is a need for more effective and efficient predictive data analysis based at least in part on structured data.
Louise O'Connor, Giorgio Mondauto, David Walsh, Rachel Costello, Darragh Hanley
Filed: 29 Jun 20
Utility
Efficient Matching of Data Fields In Response to Database Requests
30 Dec 21
There is a need for more accurate and more efficient database management operations.
Houssem Chatbri, Riccardo Mattivi, Ahmed Selim, James Philip Bauer
Filed: 29 Jun 20
Utility
Identifying Anomalous Activity from Thermal Images
30 Dec 21
A computing system may train an autoencoder to generate a first set of codes from a first set of thermal video images of activities of a user in an environment.
Megan O'Brien, Damian Kelly
Filed: 30 Jun 20
Utility
Predictive Metabolic Intervention
23 Dec 21
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for predictive data analysis.
Steven Catani, Grant B. Weller, Benjamin W. Ehlert, Katlyn Ann Fleming
Filed: 17 Jun 21
Utility
Computer-based Systems and Methods for Action Item Evaluation and Initiation Via Task Data Object Generation
23 Dec 21
To identify relevant action items (that may ultimately be reflected as claims data) for closing an identified gap in care reflected by combinations of disparate claims data records within a claims data store, a task-based interventional system executes rule-based models to determine action items eligible for closing a particular gap in care identified based on criteria associated with one or more programs.
Scott D. Johnson, Mallory B. Van Horn, Michael B. Wentzien
Filed: 17 Jun 20