公开(公告)号：US20170278009A1

公开(公告)日：2017-09-28

申请号：US15077049

申请日：2016-03-22

Applicant: XEROX CORPORATION

Inventor： Vaibhav Rajan ,  Sakyajit Bhattacharya ,  Vijay Huddar ,  Abhishek Sengupta ,  James D. Kirkendall ,  Stephen Fullerton ,  Katerina Sinclair ,  Bhupendra Singh Solanki ,  Prathosh Aragulla Prasad

IPC: G06N99/00 ,  G06N7/00 ,  G06F17/30 ,  H04W4/00

CPC classification number: G06N20/00 ,  G06F16/24578 ,  G06N7/005 ,  H04W4/70

Abstract: A method and a system for predicting admission of a human subject to a first ward in a medical center are disclosed. A patient dataset is generated based on at least a measure of one or more physiological parameters associated with one or more first human subjects and a first information pertaining to the admission of each of the one or more first human subjects to the first ward. For a first human subject of the one or more first human subjects, a first score at each of the one or more first time instants is determined. Further, one or more second time instants from the one or more first time instants are identified. Further, a second score at each of the one or more second time instants is determined. In an embodiment, the first classifier is trained based on at least the second score, and the first information.

公开(公告)号：US20160300034A1

公开(公告)日：2016-10-13

申请号：US14632117

申请日：2015-02-26

Applicant: XEROX CORPORATION

Inventor： Vijay Huddar ,  Vaibhav Rajan ,  Sakyajit Bhattacharya ,  Shourya Roy

IPC: G06F19/00

CPC classification number: G16H50/30 ,  G16H10/60

Abstract: According to embodiments illustrated herein, there is provided a system for predicting a health condition of a first patient. The system includes a document processor configured to extract one or more headings from one or more medical records of the first patient based on one or more predefined rules. The document processor is further configured to extract one or more words from one or more phrases written under each of the extracted one or more headings, wherein the one or more phrases correspond to documentation of the observation of the first patient by a medical attender. The system further includes one or more processors configured to predict the health condition of the first patient based on a count of the one or more words in historical medical records and the one or more medical records.

Abstract translation: 根据本文所示的实施例，提供了一种用于预测第一患者的健康状况的系统。 该系统包括被配置为基于一个或多个预定规则从第一患者的一个或多个医疗记录提取一个或多个标题的文档处理器。 文档处理器还被配置为从在所提取的一个或多个标题中的每一个标题下写入的一个或多个短语中提取一个或多个单词，其中所述一个或多个短语对应于由医疗人员观察第一患者的文档。 该系统还包括一个或多个处理器，其被配置为基于历史医疗记录中的一个或多个单词的计数和一个或多个医疗记录来预测第一患者的健康状况。

公开(公告)号：US20170262597A1

公开(公告)日：2017-09-14

申请号：US15065432

申请日：2016-03-09

Applicant: Xerox Corporation

Inventor： Vijay Huddar ,  Bhupendra Solanki ,  Vaibhav Rajan ,  Sakyajit Bhattacharya

IPC: G06F19/00 ,  G06N99/00

CPC classification number: G16H50/20 ,  G06N20/00

Abstract: A method, non-transitory computer readable medium and apparatus for predicting mortality of a current patient are disclosed. For example, the method includes receiving data associated with a plurality of different patients with known mortality outcomes, wherein the data includes a subset of data for each one of a plurality of different measurement timepoints for each one of the plurality of different patients, calculating n number of classifiers, wherein n is equal to a number of the plurality of different measurement timepoints, receiving data associated with the current patient at an i-th measurement timepoint, predicting the current patient has a high mortality risk based on an output of the i-th classifier of the n number of classifiers and transmitting a signal to a health administration server to cause an alarm to be generated in response to the high mortality risk that is predicted.