公开(公告)号：US20240419702A1

公开(公告)日：2024-12-19

申请号：US18817441

申请日：2024-08-28

Applicant: Express Scripts Strategic Development, Inc.

Inventor： Malla Reddy Adaboina ,  Ramandeep Kaur

IPC: G06F16/332 ,  G06F16/33 ,  G06Q40/08

Abstract: Methods and systems for selecting a deep learning/machine learning model are described. In one embodiment, a plurality of models are optimized by addressing class imbalances among a first subset of records, each of the plurality of models are trained using the first subset of records, each of the plurality of models are implemented to predict a value of respective known target columns in each of a second subset of records, respective success rates for each of the plurality of models at predicting the respective known target columns for each of the second subset of records are determined, a first of the plurality of models having a highest success rate is selected, and the first of the plurality of models is implemented to decide a target column of a received authorization request based on predictor columns in the received authorization request.

公开(公告)号：US20240203587A1

公开(公告)日：2024-06-20

申请号：US18082745

申请日：2022-12-16

Applicant: Express Scripts Strategic Development, Inc.

Inventor： Malla Reddy Adaboina ,  Ramandeep Kaur

IPC: G16H50/20 ,  G16H50/70

CPC classification number: G16H50/20 ,  G16H50/70

Abstract: Methods and systems for selecting a deep learning/machine learning model are described. In one embodiment, a plurality of models are optimized by addressing class imbalances among a first subset of records, each of the plurality of models are trained using the first subset of records, each of the plurality of models are implemented to predict a value of respective known target columns in each of a second subset of records, respective success rates for each of the plurality of models at predicting the respective known target columns for each of the second subset of records are determined, a first of the plurality of models having a highest success rate is selected, and the first of the plurality of models is implemented to decide a target column of a received authorization request based on predictor columns in the received authorization request.

公开(公告)号：US20240202520A1

公开(公告)日：2024-06-20

申请号：US18423903

申请日：2024-01-26

Applicant: Express Scripts Strategic Development, Inc.

Inventor： Malla Reddy Adaboina ,  Ramandeep Kaur

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Methods and systems for selecting a deep learning/machine learning model are described. In one embodiment, a plurality of models are trained using the first subset of records, each of the plurality of models are implemented to predict a value of respective known target columns in each of a second subset of records, respective success rates for each of the plurality of models at predicting the respective known target columns for each of the second subset of records are determined, a subset plurality of the plurality of models based on success rate is selected, and the subset plurality of the plurality of models is implemented to decide a target column of a received authorization request based on variables in the received authorization request using a democratic process.