Patent Issued for Data processing system with machine learning engine to provide output generating functions (USPTO 11580003): Allstate Insurance Company

2023 MAR 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Hayes, Howard (Glencoe, IL, US), Rugel, John (Hawthorn Woods, IL, US), Stricker, Brian (Northbrook, IL, US), filed on December 22, 2020, was published online on February 14, 2023.

The assignee for this patent, patent number 11580003, is Allstate Insurance Company (Northbrook, Illinois, United States).

Reporters obtained the following quote from the background information supplied by the inventors: “Mobile devices are being used to simplify people’s lives around the world. However, it is often difficult to collect sufficient information via user input. In addition, determining an accuracy of information provided by a user can be difficult. Often, confirming accuracy may require in-person communication, additional documentation, and the like. Accordingly, executing a plurality of interactive tests generated by an entity to collect condition data, verify accuracy of data, and the like, may be advantageous.”

In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors’ summary information for this patent: “The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosure. The summary is not an extensive overview of the disclosure. It is neither intended to identify key or critical elements of the disclosure nor to delineate the scope of the disclosure. The following summary merely presents some concepts of the disclosure in a simplified form as a prelude to the description below.

“Aspects of the disclosure relate to methods, computer-readable media, systems, and apparatuses for identifying and executing one or more interactive condition evaluation tests to generate an output.

“In some examples, user information may be received by a system, computing device, or the like. Based on the information, one or more interactive condition evaluation tests may be identified. An instruction, command, signal or the like, may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified interactive condition evaluation tests.

“In some examples, a user interface may be generated by the system, computing device, or the like. The user interface may include instructions for executing the identified interactive condition evaluation tests. Upon initiating an interactive condition evaluation test on the computing device of the user, data may be collected from one or more sensors in the computing device.

“In some examples, a determination may be made as to whether a triggering event has occurred. If not, data from the sensors may be collected. If so, the interactive condition evaluation test may be terminated and functionality associated with the sensors may be disabled.”

The claims supplied by the inventors are:

“1. A computing platform, comprising: a processing unit comprising a processor; and a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the computing platform to: identify a first interactive condition evaluation test to be executed on a user computing device; generate first user interface information associated with the first interactive condition evaluation test, the first user interface information including instructions for executing the first interactive condition evaluation test; transmit, to the user computing device, the first user interface information to initiate the first interactive condition evaluation test on the user computing device; after the first interactive condition evaluation test is initiated, collect first data associated with one or more sensors in the user computing device; receive second data associated with a user of the user computing device, the second data including history data associated with the user; and process the collected first data and the received second data to determine an output associated with a product for the user.

“2. The computing platform of claim 1, further including instructions that, when executed, cause the computing platform to: determine whether a second interactive condition evaluation test has been identified for execution; and responsive to determining that the second interactive condition evaluation test has been identified for execution, initiating the second interactive condition evaluation test on the user computing device.

“3. The computing platform of claim 1, further including instructions that, when executed, cause the computing platform to: receive third data from one or more internal data sources; and process, based on one or more machine learning datasets, the collected first data, the received second data and the received third data to determine the output for the user.

“4. The computing platform of claim 1, wherein the processing the collected first data and the received second data to determine the output for the user further includes determining eligibility of the user for one or more products.

“5. The computing platform of claim 1, wherein the first interactive condition evaluation test includes an instruction to capture a heart rate of the user.

“6. The computing platform of claim 5, wherein the history data includes behavior information of the user.

“7. The computing platform of claim 1, wherein the first interactive condition evaluation test includes an instruction to walk for a predetermined distance.

“8. The computing platform of claim 1, wherein the first interactive condition evaluation test includes instructions to respond to a plurality of cognitive skills questions via the user computing device.

“9. The computing platform of claim 1, further including instructions that, when executed, cause the computing platform to receive a request for the product from the user computing device.

“10. The computing platform of claim 1, wherein the second data is received from an external data source.

“11. The computing platform of claim 10, further including instructions that, when executed, cause the computing platform to: generate a request for the second data; and transmit, to the external data source, the request for second data.

“12. The computing platform of claim 1, wherein the collected first data and the received second data are processed based on one or more machine learning datasets.

“13. The computing platform of claim 1, wherein the history data comprises medical history data.

“14. A method, comprising: at a computing platform comprising at least one processor, memory, and a communication interface: identifying, by the at least one processor, a first interactive condition evaluation test to be executed on a user computing device; generating, by the at least one processor, first user interface information associated with the first interactive condition evaluation test, the first user interface information including instructions for executing the first interactive condition evaluation test; transmitting, by the at least one processor and to the user computing device, the first user interface information to initiate the first interactive condition evaluation test on the user computing device; after the first interactive condition evaluation test is initiated, collecting first data associated with one or more sensors in the user computing device; receiving, by the at least one processor, second data associated with a user of the user computing device, the second data including history data associated with the user; and processing, by the at least one processor, the collected first data and the received second data to determine an output associated with a product for the user.

“15. The method of claim 14, further including: determining, by the at least one processor, whether a second interactive condition evaluation test has been identified for execution; and responsive to determining that the second interactive condition evaluation test has been identified for execution, initiating, by the at least one processor, the second interactive condition evaluation test on the user computing device.

“16. The method of claim 14, further including: receiving third data from one or more internal data sources; and processing, based on one or more machine learning datasets, the collected first data, the received second data and the received third data to determine the output for the user.

“17. The method of claim 14, wherein the processing the collected first data and the received second data to determine an output for the user further includes determining eligibility of the user for one or more products.

“18. The method of claim 14, wherein the first interactive condition evaluation test includes an instruction to walk for a predetermined distance.

“19. The method of claim 14, wherein the first interactive condition evaluation test includes instructions to respond to a plurality of cognitive skills questions via the user computing device.

“20. A user computing device, comprising: a processing unit comprising a processor; and a memory unit storing computer-executable instructions, which when executed by the user computing device, cause the user computing device to: receive, from a computing platform, user interface information to initiate an interactive condition evaluation test on the user computing device, the user interface information including instructions for executing the interactive condition evaluation test; after the interactive condition evaluation test is initiated, collect data associated with one or more sensors in the user computing device; and transmit the data to the computing platform for processing along with history data associated with a user to determine an output associated with a product for the user.”

For more information, see this patent: Hayes, Howard. Data processing system with machine learning engine to provide output generating functions. U.S. Patent Number 11580003, filed December 22, 2020, and published online on February 14, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11580003)&db=USPAT&type=ids

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