Fracture risk prediction model based on big data multilevel feature mining

The invention provides a fracture risk prediction model based on big data multilevel feature mining. The fracture risk prediction model is characterized in that the fracture risk prediction model is a mixed model of XGBoost and SVM. The fracture risk can be predicted based on the model. 本发明提供了一种基于大数...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	SEO AH-JUNG, LIU MENGHAN, REN JIWU, GAO XIAOFENG, WEI XIN, MA ZICHENG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS 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 PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue
container_start_page
container_title
container_volume
creator	SEO AH-JUNG LIU MENGHAN REN JIWU GAO XIAOFENG WEI XIN MA ZICHENG
description	The invention provides a fracture risk prediction model based on big data multilevel feature mining. The fracture risk prediction model is characterized in that the fracture risk prediction model is a mixed model of XGBoost and SVM. The fracture risk can be predicted based on the model. 本发明提供了一种基于大数据多层次特征挖掘的骨折风险预测模型，其特征在于:所述骨折风险预测模型为XGBoost和SVM的混合模型。基于该模型能够预测骨折风险。
format	Patent
fullrecord	<record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115331825A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115331825A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115331825A3</originalsourceid><addsrcrecordid>eNrjZPByK0pMLiktSlUoyizOVigoSk3JTC7JzM9TyM1PSc1RSEosTk1RAHKTMtMVUhJLEhVyS3NKMnNSy4CSaamJYK25mXmZeek8DKxpiTnFqbxQmptB0c01xNlDN7UgPz61uCAxOTUvtSTe2c_Q0NTY2NDCyNTRmBg1ABhKNPs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Fracture risk prediction model based on big data multilevel feature mining</title><source>esp@cenet</source><creator>SEO AH-JUNG ; LIU MENGHAN ; REN JIWU ; GAO XIAOFENG ; WEI XIN ; MA ZICHENG</creator><creatorcontrib>SEO AH-JUNG ; LIU MENGHAN ; REN JIWU ; GAO XIAOFENG ; WEI XIN ; MA ZICHENG</creatorcontrib><description>The invention provides a fracture risk prediction model based on big data multilevel feature mining. The fracture risk prediction model is characterized in that the fracture risk prediction model is a mixed model of XGBoost and SVM. The fracture risk can be predicted based on the model. 本发明提供了一种基于大数据多层次特征挖掘的骨折风险预测模型，其特征在于:所述骨折风险预测模型为XGBoost和SVM的混合模型。基于该模型能够预测骨折风险。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; 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 ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</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=20221111&DB=EPODOC&CC=CN&NR=115331825A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221111&DB=EPODOC&CC=CN&NR=115331825A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SEO AH-JUNG</creatorcontrib><creatorcontrib>LIU MENGHAN</creatorcontrib><creatorcontrib>REN JIWU</creatorcontrib><creatorcontrib>GAO XIAOFENG</creatorcontrib><creatorcontrib>WEI XIN</creatorcontrib><creatorcontrib>MA ZICHENG</creatorcontrib><title>Fracture risk prediction model based on big data multilevel feature mining</title><description>The invention provides a fracture risk prediction model based on big data multilevel feature mining. The fracture risk prediction model is characterized in that the fracture risk prediction model is a mixed model of XGBoost and SVM. The fracture risk can be predicted based on the model. 本发明提供了一种基于大数据多层次特征挖掘的骨折风险预测模型，其特征在于:所述骨折风险预测模型为XGBoost和SVM的混合模型。基于该模型能够预测骨折风险。</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</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><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPByK0pMLiktSlUoyizOVigoSk3JTC7JzM9TyM1PSc1RSEosTk1RAHKTMtMVUhJLEhVyS3NKMnNSy4CSaamJYK25mXmZeek8DKxpiTnFqbxQmptB0c01xNlDN7UgPz61uCAxOTUvtSTe2c_Q0NTY2NDCyNTRmBg1ABhKNPs</recordid><startdate>20221111</startdate><enddate>20221111</enddate><creator>SEO AH-JUNG</creator><creator>LIU MENGHAN</creator><creator>REN JIWU</creator><creator>GAO XIAOFENG</creator><creator>WEI XIN</creator><creator>MA ZICHENG</creator><scope>EVB</scope></search><sort><creationdate>20221111</creationdate><title>Fracture risk prediction model based on big data multilevel feature mining</title><author>SEO AH-JUNG ; LIU MENGHAN ; REN JIWU ; GAO XIAOFENG ; WEI XIN ; MA ZICHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115331825A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</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><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>SEO AH-JUNG</creatorcontrib><creatorcontrib>LIU MENGHAN</creatorcontrib><creatorcontrib>REN JIWU</creatorcontrib><creatorcontrib>GAO XIAOFENG</creatorcontrib><creatorcontrib>WEI XIN</creatorcontrib><creatorcontrib>MA ZICHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SEO AH-JUNG</au><au>LIU MENGHAN</au><au>REN JIWU</au><au>GAO XIAOFENG</au><au>WEI XIN</au><au>MA ZICHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Fracture risk prediction model based on big data multilevel feature mining</title><date>2022-11-11</date><risdate>2022</risdate><abstract>The invention provides a fracture risk prediction model based on big data multilevel feature mining. The fracture risk prediction model is characterized in that the fracture risk prediction model is a mixed model of XGBoost and SVM. The fracture risk can be predicted based on the model. 本发明提供了一种基于大数据多层次特征挖掘的骨折风险预测模型，其特征在于:所述骨折风险预测模型为XGBoost和SVM的混合模型。基于该模型能够预测骨折风险。</abstract><oa>free_for_read</oa></addata></record>
fulltext	fulltext_linktorsrc
identifier
ispartof
issn
language	chi ; eng
recordid	cdi_epo_espacenet_CN115331825A
source	esp@cenet
subjects	CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS 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 PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS
title	Fracture risk prediction model based on big data multilevel feature mining
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T17%3A13%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=SEO%20AH-JUNG&rft.date=2022-11-11&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115331825A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true