公开(公告)号：US20170286569A1

公开(公告)日：2017-10-05

申请号：US15083466

申请日：2016-03-29

Applicant: Xerox Corporation

Inventor： Abhishek Sengupta ,  Prathosh Aragulla Prasad ,  Satya Narayan Shukla ,  Vaibhav Rajan ,  Katerina Sinclair ,  Stephen Fullerton

IPC: G06F17/50 ,  G06N99/00 ,  G06N5/04 ,  G06F17/18

CPC classification number: G06F17/5009 ,  G06F17/18 ,  G06F2217/10 ,  G06K9/00536 ,  G06N5/04 ,  G06N20/00

Abstract: Systems and methods of modeling irregularly sampled time series signals with unknown temporal dynamics are disclosed wherein a temporal difference variable (TDV) is introduced to model irregular time differences between subsequent measurements. A hierarchical model is designed comprising two linear dynamical systems that model the effects of evolving TDV on temporal observations. All the parameters of the model, including the temporal dynamics are statistically estimated using historical data.

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：US20170262596A1

公开(公告)日：2017-09-14

申请号：US15063558

申请日：2016-03-08

Applicant: XEROX CORPORATION

Inventor： Abhishek Sengupta ,  Vaibhav Rajan ,  Sakyajit Bhattacharya ,  Gosala Raja Kukkuta Sarma

IPC: G06F19/00 ,  G06N7/00 ,  G06N99/00

CPC classification number: G16H50/20 ,  G06N7/005 ,  G06N20/00

Abstract: A method and a system are provided for prediction of an outcome of a stroke event associated with a first human subject. The method receives a first score, one or more first observations, and one or more second observations associated with the first human subject. The method predicts one or more second scores at the second time instant based on a training of a probabilistic model. The method further selects a second score from the one or more second scores at the second time instant. The second score corresponds to the outcome of the stroke event associated with the first human subject. The second score corresponds to the highest value from the one or more second scores.