公开(公告)号：US20190035506A1

公开(公告)日：2019-01-31

申请号：US16049787

申请日：2018-07-30

Applicant: Hefei University of Technology

Inventor： Shuai DING ,  Shanlin YANG ,  Chao FU ,  He LUO

IPC: G16H50/20 ,  G16H10/60 ,  G06N5/04 ,  G06N99/00

Abstract: The invention provides an intelligent auxiliary diagnosis method, system and machine-readable medium. The method comprises: calculating relevancy between keywords of chief complaint in a current medical record and in a standard medical record and Latent Semantic Indexing (LSI) themes to acquire a set of vectors for current medical record-theme relevancy and a set of vectors for standard medical record-theme relevancy; calculating the similarity between the chief complaint in a current medical record and the chief complaint in a standard medical record, based on the set of vectors for current medical record-theme relevancy and the set of vectors for standard medical record-theme relevancy; and determining a corresponding standard medical record, according to the similarity. The invention can be used for preliminary determination of a current medical record and intelligent diagnosis, thereby greatly reducing the pressure on hospital staff and improving patient experience.