公开(公告)号：US20170112379A1

公开(公告)日：2017-04-27

申请号：US15212769

申请日：2016-07-18

Applicant: Massachusetts Institute of Technology

Inventor： Albert Joseph Swiston ,  Tejash Mukesh Patel ,  Lauren Elizabeth Edwards ,  Jack Gerard Fleischman ,  William Donald Pratt ,  Anna Nichole Honko

IPC: A61B5/00 ,  A61B5/08 ,  A61B5/021

CPC classification number: G16H50/80 ,  A61B5/00 ,  A61B5/0006 ,  A61B5/0008 ,  A61B5/021 ,  A61B5/08 ,  G16H50/20

Abstract: Systems and methods are disclosed herein for predicting whether a patient has been exposed to an agent. Physiological data is recorded from the patient during a first time interval, and one or more features are extracted from the physiological data. A plurality of classifiers is identified, wherein each classifier is trained using training data for a respective specific post-exposure time interval. For each classifier and based on a respective subset of the one or more features, a patient state classification that indicates an initial prediction of whether the patient has been exposed to the agent is determined. An indication of a prediction that the patient has been exposed to the agent is provided when a number of patient state classifications indicating a positive initial prediction that the patient has been exposed to the agent exceeds a first threshold.

公开(公告)号：US10332638B2

公开(公告)日：2019-06-25

申请号：US15212769

申请日：2016-07-18

Applicant: Massachusetts Institute of Technology

Inventor： Albert Joseph Swiston ,  Tejash Mukesh Patel ,  Lauren Milechin ,  Jack Gerald Fleischman ,  William Donald Pratt ,  Anna Nichole Honko

IPC: A61B5/00 ,  G16H50/80 ,  G16H50/20 ,  A61B5/021 ,  A61B5/08

Abstract: Systems and methods are disclosed herein for predicting whether a patient has been exposed to an agent. Physiological data is recorded from the patient during a first time interval, and one or more features are extracted from the physiological data. A plurality of classifiers is identified, wherein each classifier is trained using training data for a respective specific post-exposure time interval. For each classifier and based on a respective subset of the one or more features, a patient state classification that indicates an initial prediction of whether the patient has been exposed to the agent is determined. An indication of a prediction that the patient has been exposed to the agent is provided when a number of patient state classifications indicating a positive initial prediction that the patient has been exposed to the agent exceeds a first threshold.