Noninvasive prediction model for migraine risk assessment
The invention discloses a noninvasive prediction model for migraine risk assessment, and relates to the technical field of prediction models. The invention aims to provide a migraine non-invasive prediction model. The system specifically comprises an acquisition module used for collecting risk infor...
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creator | XIA HUI DUAN SHAOJIE REN ZHIYING LIU ZUNJING WANG ZIYAO |
description | The invention discloses a noninvasive prediction model for migraine risk assessment, and relates to the technical field of prediction models. The invention aims to provide a migraine non-invasive prediction model. The system specifically comprises an acquisition module used for collecting risk information, a storage module used for storing the collected information, an analysis processing module, a prediction model establishment module and a prediction model verification module, and the acquisition module, the analysis processing module and the prediction model establishment module are in communication connection with the storage module. And the analysis processing module is in communication connection with the prediction model establishment module. According to the method, by evaluating prediction values of different TCMC scores, PSQI scores, SAS scores, SDS scores and the like on migraine, appropriate migraine risk prediction factors are screened out, a new migraine noninvasive prediction model is establish |
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The invention aims to provide a migraine non-invasive prediction model. The system specifically comprises an acquisition module used for collecting risk information, a storage module used for storing the collected information, an analysis processing module, a prediction model establishment module and a prediction model verification module, and the acquisition module, the analysis processing module and the prediction model establishment module are in communication connection with the storage module. And the analysis processing module is in communication connection with the prediction model establishment module. According to the method, by evaluating prediction values of different TCMC scores, PSQI scores, SAS scores, SDS scores and the like on migraine, appropriate migraine risk prediction factors are screened out, a new migraine noninvasive prediction model is establish</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; 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>2023</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=20231201&DB=EPODOC&CC=CN&NR=117153397A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231201&DB=EPODOC&CC=CN&NR=117153397A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XIA HUI</creatorcontrib><creatorcontrib>DUAN SHAOJIE</creatorcontrib><creatorcontrib>REN ZHIYING</creatorcontrib><creatorcontrib>LIU ZUNJING</creatorcontrib><creatorcontrib>WANG ZIYAO</creatorcontrib><title>Noninvasive prediction model for migraine risk assessment</title><description>The invention discloses a noninvasive prediction model for migraine risk assessment, and relates to the technical field of prediction models. The invention aims to provide a migraine non-invasive prediction model. The system specifically comprises an acquisition module used for collecting risk information, a storage module used for storing the collected information, an analysis processing module, a prediction model establishment module and a prediction model verification module, and the acquisition module, the analysis processing module and the prediction model establishment module are in communication connection with the storage module. And the analysis processing module is in communication connection with the prediction model establishment module. 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The invention aims to provide a migraine non-invasive prediction model. The system specifically comprises an acquisition module used for collecting risk information, a storage module used for storing the collected information, an analysis processing module, a prediction model establishment module and a prediction model verification module, and the acquisition module, the analysis processing module and the prediction model establishment module are in communication connection with the storage module. And the analysis processing module is in communication connection with the prediction model establishment module. According to the method, by evaluating prediction values of different TCMC scores, PSQI scores, SAS scores, SDS scores and the like on migraine, appropriate migraine risk prediction factors are screened out, a new migraine noninvasive prediction model is establish</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING 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 | Noninvasive prediction model for migraine risk assessment |
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