Depression early warning method based on questionnaire and large language model and related equipment

The invention provides a depression early warning method based on a questionnaire and a large language model and related equipment, and is applied to the technical field of data processing. According to the method, target user information and a training sample set are obtained, and the training samp...

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Hauptverfasser:	TIAN LIXIN, TAN SHUPING, GUO QI, TIAN ZHANXIAO, TIAN TIAN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	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
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creator	TIAN LIXIN TAN SHUPING GUO QI TIAN ZHANXIAO TIAN TIAN
description	The invention provides a depression early warning method based on a questionnaire and a large language model and related equipment, and is applied to the technical field of data processing. According to the method, target user information and a training sample set are obtained, and the training sample set comprises training cases of a target hospital in a preset time period and training cases received from other hospitals; processing the training sample set based on a preset processing rule to generate physiological state factor information; constructing a large language model based on a preset question library and preset question and answer logic; performing training processing on the large language model based on the physiological state factor information to generate a target large language model; processing the target user information to generate treatment information of the target user; processing the treatment information of the target user based on the target large language model to generate a diagnosis
format	Patent
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According to the method, target user information and a training sample set are obtained, and the training sample set comprises training cases of a target hospital in a preset time period and training cases received from other hospitals; processing the training sample set based on a preset processing rule to generate physiological state factor information; constructing a large language model based on a preset question library and preset question and answer logic; performing training processing on the large language model based on the physiological state factor information to generate a target large language model; processing the target user information to generate treatment information of the target user; processing the treatment information of the target user based on the target large language model to generate a diagnosis</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>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=20240802&DB=EPODOC&CC=CN&NR=118430786A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240802&DB=EPODOC&CC=CN&NR=118430786A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TIAN LIXIN</creatorcontrib><creatorcontrib>TAN SHUPING</creatorcontrib><creatorcontrib>GUO QI</creatorcontrib><creatorcontrib>TIAN ZHANXIAO</creatorcontrib><creatorcontrib>TIAN TIAN</creatorcontrib><title>Depression early warning method based on questionnaire and large language model and related equipment</title><description>The invention provides a depression early warning method based on a questionnaire and a large language model and related equipment, and is applied to the technical field of data processing. 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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	Depression early warning method based on questionnaire and large language model and related equipment
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