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.

公开(公告)号：US20180341696A1

公开(公告)日：2018-11-29

申请号：US15892279

申请日：2018-02-08

Applicant: Hefei University of Technology

Inventor： Shuai DING ,  Shanlin YANG ,  Xinbao LIU ,  Wenjuan FAN ,  Feng NIU ,  Hao WANG

IPC: G06F17/30

Abstract: The present disclosure discloses a method and system for detecting overlapping communities based on similarity between nodes in a social network. The method comprises steps of: receiving a social network to be detected; calculating a level of similarity between nodes in the social network to be detected; detecting overlapping communities in the social network based on the level of similarity between nodes; and, outputting a structure of the detected overlapping communities. In the method for detecting overlapping communities based on similarity between nodes in a social network of the present disclosure, a method for calculating similarity between network structure information and node attribute information is fused in the social network environment, and a method for discovering overlapping communities by fusing the similarity between nodes is proposed on this basis to obtain a high-quality community cohered in terms of both network structure and node preference.

公开(公告)号：US20180136974A1

公开(公告)日：2018-05-17

申请号：US15809993

申请日：2017-11-10

Applicant: Hefei University of Technology

Inventor： Shanlin YANG ,  Shuai DING ,  Wenjuan FAN ,  Hao WANG ,  Jinxin PAN ,  Shikang HU ,  Hui HUANG

IPC: G06F9/48 ,  G06F19/00

CPC classification number: G06F9/4881 ,  G06F19/325 ,  G06F19/3418 ,  G16H40/20

Abstract: The present invention discloses a task scheduling system and method suitable for mobile health, the characteristics thereof including: a mobile health task distribution module, a plurality of mobile health task processing modules and a mobile health task callback module; the mobile health task distribution module comprises: a resource description unit, a resource scheduling unit, a resource matcher; each of the mobile health task processing modules comprises: a task decomposition unit, a task execution unit, a task evaluation unit. The present invention is capable of carrying out tasks with full use of the currently available task processing resources, thereby being capable of improving the efficiency and performance of the task scheduling processing in the mobile health environment.