公开(公告)号：US11948694B2

公开(公告)日：2024-04-02

申请号：US17318027

申请日：2021-05-12

Applicant: Merative US L.P.

Inventor： Vishrawas Gopalakrishnan ,  Sayali Navalekar ,  James H. Kaufman ,  Simone Bianco ,  Kun Hu ,  Ajay Ashok Deshpande ,  Sarah Kefayati ,  Ujwal Reddy Moramganti ,  George Sirbu ,  Xuan Liu ,  Raman Srinivasan ,  Pan Ding

IPC: G06Q30/00 ,  G06N20/00 ,  G16H50/50 ,  G16H50/80

CPC classification number: G16H50/80 ,  G06N20/00 ,  G16H50/50

Abstract: Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.