公开(公告)号：GB2599233A

公开(公告)日：2022-03-30

申请号：GB202113144

申请日：2021-09-14

Applicant: IBM

Inventor： JING LI ,  JING MEI ,  YI QIN YU ,  JIAN WANG

IPC: G16H50/30 ,  G16H20/00

Abstract: Computer-implemented method 400 performed by one or more processors comprising: receiving 410 patient data of a patient; receiving 412 a selection of a disease outcome; determining 414 a risk score that the patient will experience the selected disease outcome, using the patient data; generating intervention options based on the patient data and by accessing a medical record data structure stored in a memory; determining an intervention effect for each of the intervention options, wherein the intervention effect changes the risk score; comparing the intervention effects; and providing a recommendation of at least one of the intervention options based on the comparison. The intervention effects may be determined by determining a relative risk reduction of a corresponding intervention option of the intervention options based on medical knowledge related to the corresponding intervention option. The medical knowledge may be obtained from a plurality of pieces of literature or from a plurality of studies; and each of the plurality of pieces of literature or each of the studies assigned a respective weight or variance when the intervention effect is determined. Also disclosed are a system and a computer program product.

公开(公告)号：GB2542053A

公开(公告)日：2017-03-08

申请号：GB201620782

申请日：2015-05-27

Applicant: IBM

Inventor： JING MEI ,  GANG HU ,  WEN SUN ,  WEIJIA SHEN ,  GUO TONG XIE

IPC: G06F12/00 ,  G06F17/30

Abstract: Automatically generating a semantic mapping for a relational database RDB, comprising: obtaining a first semantic mapping from a first RDB to an ontology of linked data; obtaining a schema mapping from the first RDB to a second RDB; and generating a second semantic mapping from the second RDB to the ontology of the linked data based on the first semantic mapping and the schema mapping. Through this method and system, the efficiency of generating a semantic mapping for a relational database may be effectively improved.