公开(公告)号：US20220189599A1

公开(公告)日：2022-06-16

申请号：US17370666

申请日：2021-07-08

Applicant: Express Scripts Strategic Development, Inc.

Inventor： John C. Petch ,  Sai Pranay Malipatil ,  Morgan J. Finley ,  Christopher J. Greer ,  Billeigh Barackman ,  Ryann Ewing ,  Stephen J. Bergner

IPC: G16H20/10 ,  G16H15/00 ,  G16H40/20

Abstract: A method includes receiving at least one data object and identifying, for a first aspect of the at least one data object, text strings of free form textual information having a first text string type. The method also includes generating updated free form textual information by removing the at least one text string having the first text string type. The method also includes generating one or more feature vectors based on the updated free form textual information using at least one of a unigram, a bigram, and a trigram. The method also includes using an artificial intelligence engine that uses at least one machine learning model configured to provide, using the one or more feature vectors, an output that includes at least one prediction indicating at least one resource domain and a weight value indicating a probability that the at least one resource domain corresponds to the free form textual information.

公开(公告)号：US11862315B2

公开(公告)日：2024-01-02

申请号：US17370666

申请日：2021-07-08

Applicant: Express Scripts Strategic Development, Inc.

Inventor： John C. Petch ,  Sai Pranay Malipatil ,  Morgan J. Finley ,  Christopher J. Greer ,  Billeigh Barackman ,  Ryann Ewing ,  Stephen J. Bergner

IPC: G16H20/10 ,  G16H15/00 ,  G16H40/20

CPC classification number: G16H20/10 ,  G16H15/00 ,  G16H40/20

Abstract: A method includes receiving at least one data object and identifying, for a first aspect of the at least one data object, text strings of free form textual information having a first text string type. The method also includes generating updated free form textual information by removing the at least one text string having the first text string type. The method also includes generating one or more feature vectors based on the updated free form textual information using at least one of a unigram, a bigram, and a trigram. The method also includes using an artificial intelligence engine that uses at least one machine learning model configured to provide, using the one or more feature vectors, an output that includes at least one prediction indicating at least one resource domain and a weight value indicating a probability that the at least one resource domain corresponds to the free form textual information.