公开(公告)号：US20220366279A1

公开(公告)日：2022-11-17

申请号：US17322738

申请日：2021-05-17

Applicant: Humana Inc.

Inventor： Yunliang Cai ,  Peyman Yousefian ,  Sravya Etlapur

IPC: G06N5/04 ,  G06N20/00 ,  H04L29/08

Abstract: A system uses a machine learning based model to select a channel for communicating with users. The system generates a feature vector based on a user profile of the user. The user profile data includes time series data describing past communications to users and past user actions. The system executes one or more machine learning based models, each machine learning based model configured to receive a feature vector describing a particular user and predict a likelihood of the particular user performing an expected user action responsive to a communication sent via the communication channel. The system selects a communication channel based on the results of the machine learning based models and sends a communication to the user via the selected communication channel.

公开(公告)号：US20240145070A1

公开(公告)日：2024-05-02

申请号：US17978741

申请日：2022-11-01

Applicant: Humana Inc.

Inventor： Yongjia Song ,  Peyman Yousefian ,  Rajiv Kumar Gumpina ,  Sravya Etlapur ,  Nataley Savanah Kennedy ,  Brandi Sambola ,  Rohan Vohra

IPC: G16H40/20

CPC classification number: G16H40/20

Abstract: A system and method for using a graph-based data structure to capture complex relations between different healthcare entities, analyze and mine healthcare data. The system sets up a framework for analyzing and mining historical healthcare data to help clinical patients and practitioners to guide care and make early decisions for interventions. More particularly, the system and method use graph embedding and machine learning modeling to process healthcare data in order to match member/patients with healthcare facilities for performing a particular medical procedure needed by the patient.

公开(公告)号：US20240145084A1

公开(公告)日：2024-05-02

申请号：US17978677

申请日：2022-11-01

Applicant: Humana Inc.

Inventor： Yongjia Song ,  Peyman Yousefian ,  Rajiv Kumar Gumpina ,  Sravya Etlapur ,  Nataley Savanah Kennedy ,  Brandi Sambola ,  Rohan Vohra

IPC: G16H50/20

CPC classification number: G16H50/20

Abstract: A system and method for using a graph-based data structure to capture complex relations between different healthcare entities, analyze and mine healthcare data. The system sets up a framework for analyzing and mining historical healthcare data to help clinical patients and practitioners to guide care and make early decisions for interventions. More particularly, the system and method use graph embedding and machine learning modeling to process healthcare data in order to match member/patients with healthcare facilities or providers for performing a particular medical procedure or other health intervention needed by the patient.

公开(公告)号：US20220374736A1

公开(公告)日：2022-11-24

申请号：US17326429

申请日：2021-05-21

Applicant: Humana Inc.

Inventor： Linda Nguyen Chung ,  Rajiv Kumar Gumpina ,  Dan Carroll Hawk, III ,  Peyman Yousefian ,  Sravya Etlapur ,  Yunliang Cai ,  Nataley Savanah Kennedy

IPC: G06N5/04 ,  G06N20/00

Abstract: A system according to an embodiment optimizes communications with users using machine learning based models. The system receives user profile data for a set of users. For each user from the set of users, the system provides the user profile data as input to a machine learning based model and determines attributes describing the user, for example a measure of adherence rate for the user. The system ranks the set of users based on the predicted attributes. The system selects a subset of users from the set of users based on the ranking. For each selected user from the set of selected users, the system determines communication parameters for communicating with the selected user and sends a communication to the selected user based on the determined communication parameters.