公开(公告)号：US11544587B2

公开(公告)日：2023-01-03

申请号：US16340480

申请日：2017-09-25

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Oladimeji Feyisetan Farri ,  Sheikh Al Hasan ,  Junyi Liu ,  Kathy Mi Young Lee ,  Vivek Varma Datla

IPC: G16H50/20 ,  G06N5/04 ,  G06F16/35 ,  G16H50/70 ,  G16H15/00 ,  G06N3/08 ,  G06F40/30

Abstract: A medical information retrieval system comprises a natural language processing system that processes a vocal user query to identify key words and phrases. These key words and phrases are provided to an inferencing engine that provides a set of knowledge-based inferences from medical knowledge sources, based on these key words and phrases. Thereafter, these knowledge-based inferences are provided to an information retrieval engine that retrieves a corresponding plurality of medical articles based on these knowledge-based inferences, and ranks each with respect to the knowledge-based inferences. A summary engine receives the ranked articles and creates a model based on the topical keywords and candidate sentences found in the highly ranked articles. A paraphrase engine processes the candidate sentences to provide a summary response based on a knowledge-based paraphrase model. An audio output device renders the summary report as the response to the user's original vocal query.

公开(公告)号：US20190244119A1

公开(公告)日：2019-08-08

申请号：US16340480

申请日：2017-09-25

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Oladimeji Feyisetan Farri ,  Sheikh Al Hasan ,  Junyi Liu ,  Kathy Mi Young Lee ,  Vivek Varma Datla

IPC: G06N5/04 ,  G16H50/20 ,  G06N3/08

CPC classification number: G06N5/04 ,  G06F16/35 ,  G06F17/2785 ,  G06N3/08 ,  G16H15/00 ,  G16H50/20 ,  G16H50/70

Abstract: A medical information retrieval system comprises a natural language processing system that processes a vocal user query to identify key words and phrases. These key words and phrases are provided to an inferencing engine that provides a set of knowledge-based inferences from medical knowledge sources, based on these key words and phrases. Thereafter, these knowledge-based inferences are provided to an information retrieval engine that retrieves a corresponding plurality of medical articles based on these knowledge-based inferences, and ranks each with respect to the knowledge-based inferences. A summary engine receives the ranked articles and creates a model based on the topical keywords and candidate sentences found in the highly ranked articles. A paraphrase engine processes the candidate sentences to provide a summary response based on a knowledge-based paraphrase model. An audio output device renders the summary report as the response to the user's original vocal query.