Methods and systems for making a coverage determination
AssigneeKpn Innovations, LLC.
InventorKenneth Neumann
Life of this patent
Estimating the term…
Abstract
A system for making a coverage determination. The system includes a computing device configured to receive from a remote device a coverage request. A computing device records a user biological extraction and utilizes the user biological extraction to calculate a user effective age. A computing device determines a user behavior pattern and identifies a user danger profile. A computing device produces a user coverage that is utilized in combination with a coverage machine-learning model to output a plurality of coverage options.
Claims20
A system for making a coverage determination, the system comprising a computing device the computing device designed and configured to:
- receive from a remote device a coverage
- request;
- record a user biological extraction;
- calculate a user effective age utilizing a user chronological age and the user biological extraction;
- determine a user behavior pattern;
- identify a user danger profile;
- produce a user coverage profile wherein the user coverage profile further comprises the user biological extraction, the user effective age, the user behavior pattern, and the user danger profile;
- select a coverage machine-learning model as a function of the coverage request;
- generate the selected coverage machine-learning model wherein the machine-learning model is trained by training data, the training data correlating a plurality of biological extractions with a plurality of coverage options, and wherein the coverage machine-learning model utilizes a user coverage profile as an input and outputs a plurality of coverage options;
- and
- output a plurality of coverage options as a function of generating the selected coverage machine-learning model.
(canceled)
A method of making a coverage determination, the method comprising:
- receiving by a computing device a coverage request from a remote device;
- recording by the computing device a user biological extraction;
- calculating by the computing device a user effective age utilizing a user chronological age and the user biological extraction;
- determining by the computing device a user behavior pattern;
- identifying by the computing device a user danger profile;
- producing by the computing device a user coverage profile wherein the user coverage profile further comprises the user biological extraction, the user effective age, the user behavior pattern, and the user danger profile;
- selecting by the computing device a coverage machine-learning model as a function of the coverage request;
- generating by the computing device the selected coverage machine-learning model wherein the machine-learning model is trained by training data, the training data correlating a plurality of biological extractions with a plurality of coverage options, and wherein the coverage machine-learning model utilizes a user coverage profile as an input and outputs a plurality of coverage options;
- and
- outputting by the computing device a plurality of coverage options as a function of generating the selected coverage machine-learning model.
(canceled)
Dependencies are inferred from the claim text.