Disease early warning system based on artificial intelligence
The invention provides a disease early warning system based on artificial intelligence, and relates to the technical field of medical data processing. The system comprises an information acquisition module, a knowledge graph acquisition module, a training module, a discrimination module, a suggestio...
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| creator | FU JIANQIANG WU YUANYUAN LAI MINGRONG WENG SUXIANG DU JUPING GUO XIAOYUN |
| description | The invention provides a disease early warning system based on artificial intelligence, and relates to the technical field of medical data processing. The system comprises an information acquisition module, a knowledge graph acquisition module, a training module, a discrimination module, a suggestion module, a prediction module and an early warning module. According to the method and the device, the knowledge graph of each diagnosis and treatment can be obtained by processing the medical record, so that the graph neural network model is trained, and the medicine use suggestion information and the inducement elimination suggestion information are given based on the knowledge graph through the trained graph neural network model, so that reasonable suggestions are given for the target object; and the development trend of the disease can be predicted by using the trained graph neural network model, so that accurate early warning information is generated, and accurate reference is provided for diagnosis and treatm |
| format | Patent |
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The system comprises an information acquisition module, a knowledge graph acquisition module, a training module, a discrimination module, a suggestion module, a prediction module and an early warning module. According to the method and the device, the knowledge graph of each diagnosis and treatment can be obtained by processing the medical record, so that the graph neural network model is trained, and the medicine use suggestion information and the inducement elimination suggestion information are given based on the knowledge graph through the trained graph neural network model, so that reasonable suggestions are given for the target object; and the development trend of the disease can be predicted by using the trained graph neural network model, so that accurate early warning information is generated, and accurate reference is provided for diagnosis and treatm</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240813&DB=EPODOC&CC=CN&NR=118486453A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25555,76308</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240813&DB=EPODOC&CC=CN&NR=118486453A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FU JIANQIANG</creatorcontrib><creatorcontrib>WU YUANYUAN</creatorcontrib><creatorcontrib>LAI MINGRONG</creatorcontrib><creatorcontrib>WENG SUXIANG</creatorcontrib><creatorcontrib>DU JUPING</creatorcontrib><creatorcontrib>GUO XIAOYUN</creatorcontrib><title>Disease early warning system based on artificial intelligence</title><description>The invention provides a disease early warning system based on artificial intelligence, and relates to the technical field of medical data processing. The system comprises an information acquisition module, a knowledge graph acquisition module, a training module, a discrimination module, a suggestion module, a prediction module and an early warning module. According to the method and the device, the knowledge graph of each diagnosis and treatment can be obtained by processing the medical record, so that the graph neural network model is trained, and the medicine use suggestion information and the inducement elimination suggestion information are given based on the knowledge graph through the trained graph neural network model, so that reasonable suggestions are given for the target object; and the development trend of the disease can be predicted by using the trained graph neural network model, so that accurate early warning information is generated, and accurate reference is provided for diagnosis and treatm</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLB1ySxOTSxOVUhNLMqpVChPLMrLzEtXKK4sLknNVUgCyqQo5OcpJBaVZKZlJmcm5ihk5pWk5uRkpqfmJafyMLCmJeYUp_JCaW4GRTfXEGcP3dSC_PjU4oLE5NS81JJ4Zz9DQwsTCzMTU2NHY2LUAAA1fjBx</recordid><startdate>20240813</startdate><enddate>20240813</enddate><creator>FU JIANQIANG</creator><creator>WU YUANYUAN</creator><creator>LAI MINGRONG</creator><creator>WENG SUXIANG</creator><creator>DU JUPING</creator><creator>GUO XIAOYUN</creator><scope>EVB</scope></search><sort><creationdate>20240813</creationdate><title>Disease early warning system based on artificial intelligence</title><author>FU JIANQIANG ; WU YUANYUAN ; LAI MINGRONG ; WENG SUXIANG ; DU JUPING ; GUO XIAOYUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118486453A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>FU JIANQIANG</creatorcontrib><creatorcontrib>WU YUANYUAN</creatorcontrib><creatorcontrib>LAI MINGRONG</creatorcontrib><creatorcontrib>WENG SUXIANG</creatorcontrib><creatorcontrib>DU JUPING</creatorcontrib><creatorcontrib>GUO XIAOYUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FU JIANQIANG</au><au>WU YUANYUAN</au><au>LAI MINGRONG</au><au>WENG SUXIANG</au><au>DU JUPING</au><au>GUO XIAOYUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Disease early warning system based on artificial intelligence</title><date>2024-08-13</date><risdate>2024</risdate><abstract>The invention provides a disease early warning system based on artificial intelligence, and relates to the technical field of medical data processing. The system comprises an information acquisition module, a knowledge graph acquisition module, a training module, a discrimination module, a suggestion module, a prediction module and an early warning module. According to the method and the device, the knowledge graph of each diagnosis and treatment can be obtained by processing the medical record, so that the graph neural network model is trained, and the medicine use suggestion information and the inducement elimination suggestion information are given based on the knowledge graph through the trained graph neural network model, so that reasonable suggestions are given for the target object; and the development trend of the disease can be predicted by using the trained graph neural network model, so that accurate early warning information is generated, and accurate reference is provided for diagnosis and treatm</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | Disease early warning system based on artificial intelligence |
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