公开(公告)号：US20180137250A1

公开(公告)日：2018-05-17

申请号：US15804033

申请日：2017-11-06

Applicant: Hefei University of Technology

Inventor： Shuai DING ,  Shanlin YANG ,  Xiao SUN ,  Wenjuan FAN ,  Hang JIN ,  Yeqing LI ,  Shaowen LAN

IPC: G06F19/00 ,  G10L15/22 ,  G10L15/08 ,  G10L15/30 ,  G10L25/51

CPC classification number: G16H50/20 ,  G06F19/321 ,  G10L15/08 ,  G10L15/22 ,  G10L15/26 ,  G10L15/30 ,  G10L25/51 ,  G10L2015/088 ,  G10L2015/223 ,  G16H10/20 ,  G16H10/60 ,  G16H20/00 ,  G16H40/67 ,  G16H70/20

Abstract: The present invention discloses a mobile health intelligent medical guide system and method thereof. The method comprises steps: collecting patient chief complaint, sending the patient chief complaint to a cloud server, analyzing and processing the patient chief complaint, text word segmentation, fuzzy matching and sorting recommendation technologies, generating a disease examination result, and generating an intelligent medical guide result to be fed back to the mobile terminal; reminding the patient to supplement the chief complaint information if the patient does not end this query or the diagnosis result does not achieve the optimum, and then optimizing the disease examination result and the intelligent medical guide result until the patient ends the query or the diagnosis result achieves the optimum. The system disclosed can assist the patient to perform self-helped disease examination and medical guide in the mobile environment, thereby promoting the development of the mobile medical technology.

公开(公告)号：US20180322954A1

公开(公告)日：2018-11-08

申请号：US15972121

申请日：2018-05-05

Applicant: Hefei University of Technology

Inventor： Shuai DING ,  Shanlin YANG ,  Xiao SUN ,  Shikang HU ,  Hao WANG

IPC: G16H50/20 ,  G16H10/60

CPC classification number: G16H50/20 ,  G06F17/278 ,  G16H10/60 ,  G16H50/70

Abstract: The present invention discloses a method and a device for constructing a medical knowledge graph and an assistant diagnosis method. The assistant diagnosis method based on a medical knowledge graph comprises the steps of: acquiring complaint data and examination data of a patient and processing the data to obtain symptom entities and sign entities of the patient; searching, from the medical knowledge graph, disease entities associated with the symptom entities and the sign entities, calculating a posterior probability of each disease entity separately under a set of its corresponding symptom entities and sign entities; and outputting a disease entity with a maximum posterior probability as well as data corresponding to its associated nodes. The present invention provides an intelligent assistant diagnosis for clinical medicine to reduce the work burden of medical staff, relieve the medical pressure and reduce medical accidents.