Systems, methods, and devices to assess medical school applicant data
AssigneeMedicratic Inc.
InventorsAlexander Thomson, Tanner Mitton, David Elder
Life of this patent
Estimating the term…
Abstract
A system operable to analyze applicant features having at least one user computing device in operable communication with a user network. An application server in operable communication with the user network to host an application system for analyzing the plurality of applicant features and transmitting the plurality of applicant features to a comparator operable to compare the plurality of features to one or more other applicants.
Claims21
A method to assess applicant data, the method comprising:
- receiving, using one or more processors of a computing device, input applicant data;
- performing, with the one or more processors of the computing device, a machine-learning (ML)-based assessment of the input applicant data to generate a ML-based score corresponding to the input applicant data, the ML-based assessment including:
- a normalization of text data from the input applicant data to create one or more normalized files, and
- a grade extraction procedure performed using the one or more normalized files;
- and
- presenting, at one or more user interfaces of the computing device, an applicant ranking based at least partly on the ML-based score.
A system to assess applicant data, the system comprising:
- input applicant data provided to one or more processors of one or more computing device;
- a document pre-processing system, executed by the one or more processors, to normalize the input applicant data to form normalized data;
- a grade standardization system, executed by the one or more processors, to extract one or more grade values from the normalized data;
- and
- a machine-learning (ML)-based score generated with a trained ML model using the one or more grade values, the ML-based score or the one or more grade values being presented at a display of the one or more computing device with a bio associated with the input applicant data.
A device to assess applicant data, the device comprising:
- one or more processors;
- and
- one or more non-transitory memory devices storing instructions which, when executed by the one or more processors, cause the device to:
- receive input applicant data;
- perform a machine learning (ML)-based assessment of the input applicant data, including a grade standardization operation, to generate a ML-based score corresponding to the input applicant data;
- and
- present, at a user interface of a display, an applicant ranking based at least partly on the ML-based score.
Dependencies are inferred from the claim text.