Prediction model construction method and device, prediction method and device and electronic equipment
The invention relates to a prediction model construction method and device, a prediction method and device and electronic equipment, and the method comprises the steps: obtaining a first image feature of a region of interest of each brain perfusion image in a brain perfusion image set, wherein the r...
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| creator | KANG YAN GUO YINGWEI YANG YINGJIAN MIAO XIAOQIANG ZENG XUEQIANG FENG MENGTING CAO FENGQIU |
| description | The invention relates to a prediction model construction method and device, a prediction method and device and electronic equipment, and the method comprises the steps: obtaining a first image feature of a region of interest of each brain perfusion image in a brain perfusion image set, wherein the region of interest comprises an abnormal region; screening out a second image feature meeting a preset condition from the first image features; obtaining survival features based on the second image features; and training a model based on the second image feature and the survival feature, and obtaining a prediction model for evaluating a prognosis state. The embodiment of the invention can improve the prediction precision of the prognosis state.
本公开涉及一种预测模型构建方法及装置、预测方法及装置、电子设备，所述预测模型的构建方法包括：获取脑灌注影像集内各脑灌注影像的感兴趣区域的第一影像特征，所述感兴趣区域包括异常区域；从所述第一影像特征中筛选出满足预设条件的第二影像特征；基于所述第二影像特征得到生存特征；基于所述第二影像特征和所述生存特征，训练模型，并得到用于评估预后状态的预测模型。本公开实施例可提高预后状态的预测精度。 |
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本公开涉及一种预测模型构建方法及装置、预测方法及装置、电子设备，所述预测模型的构建方法包括：获取脑灌注影像集内各脑灌注影像的感兴趣区域的第一影像特征，所述感兴趣区域包括异常区域；从所述第一影像特征中筛选出满足预设条件的第二影像特征；基于所述第二影像特征得到生存特征；基于所述第二影像特征和所述生存特征，训练模型，并得到用于评估预后状态的预测模型。本公开实施例可提高预后状态的预测精度。</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>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=20220930&DB=EPODOC&CC=CN&NR=115132359A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220930&DB=EPODOC&CC=CN&NR=115132359A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KANG YAN</creatorcontrib><creatorcontrib>GUO YINGWEI</creatorcontrib><creatorcontrib>YANG YINGJIAN</creatorcontrib><creatorcontrib>MIAO XIAOQIANG</creatorcontrib><creatorcontrib>ZENG XUEQIANG</creatorcontrib><creatorcontrib>FENG MENGTING</creatorcontrib><creatorcontrib>CAO FENGQIU</creatorcontrib><title>Prediction model construction method and device, prediction method and device and electronic equipment</title><description>The invention relates to a prediction model construction method and device, a prediction method and device and electronic equipment, and the method comprises the steps: obtaining a first image feature of a region of interest of each brain perfusion image in a brain perfusion image set, wherein the region of interest comprises an abnormal region; screening out a second image feature meeting a preset condition from the first image features; obtaining survival features based on the second image features; and training a model based on the second image feature and the survival feature, and obtaining a prediction model for evaluating a prognosis state. The embodiment of the invention can improve the prediction precision of the prognosis state.
本公开涉及一种预测模型构建方法及装置、预测方法及装置、电子设备，所述预测模型的构建方法包括：获取脑灌注影像集内各脑灌注影像的感兴趣区域的第一影像特征，所述感兴趣区域包括异常区域；从所述第一影像特征中筛选出满足预设条件的第二影像特征；基于所述第二影像特征得到生存特征；基于所述第二影像特征和所述生存特征，训练模型，并得到用于评估预后状态的预测模型。本公开实施例可提高预后状态的预测精度。</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>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZEgLKEpNyUwuyczPU8jNT0nNUUjOzysuKSqFCqWWZOSnKCTmpSikpJZlJqfqKBQgaUCXBTNTc1KTS4ry8zKTFVILSzMLclPzSngYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhqaGxkbGppaMxMWoAqA0_7g</recordid><startdate>20220930</startdate><enddate>20220930</enddate><creator>KANG YAN</creator><creator>GUO YINGWEI</creator><creator>YANG YINGJIAN</creator><creator>MIAO XIAOQIANG</creator><creator>ZENG XUEQIANG</creator><creator>FENG MENGTING</creator><creator>CAO FENGQIU</creator><scope>EVB</scope></search><sort><creationdate>20220930</creationdate><title>Prediction model construction method and device, prediction method and device and electronic equipment</title><author>KANG YAN ; GUO YINGWEI ; YANG YINGJIAN ; MIAO XIAOQIANG ; ZENG XUEQIANG ; FENG MENGTING ; CAO FENGQIU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115132359A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</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>KANG YAN</creatorcontrib><creatorcontrib>GUO YINGWEI</creatorcontrib><creatorcontrib>YANG YINGJIAN</creatorcontrib><creatorcontrib>MIAO XIAOQIANG</creatorcontrib><creatorcontrib>ZENG XUEQIANG</creatorcontrib><creatorcontrib>FENG MENGTING</creatorcontrib><creatorcontrib>CAO FENGQIU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KANG YAN</au><au>GUO YINGWEI</au><au>YANG YINGJIAN</au><au>MIAO XIAOQIANG</au><au>ZENG XUEQIANG</au><au>FENG MENGTING</au><au>CAO FENGQIU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Prediction model construction method and device, prediction method and device and electronic equipment</title><date>2022-09-30</date><risdate>2022</risdate><abstract>The invention relates to a prediction model construction method and device, a prediction method and device and electronic equipment, and the method comprises the steps: obtaining a first image feature of a region of interest of each brain perfusion image in a brain perfusion image set, wherein the region of interest comprises an abnormal region; screening out a second image feature meeting a preset condition from the first image features; obtaining survival features based on the second image features; and training a model based on the second image feature and the survival feature, and obtaining a prediction model for evaluating a prognosis state. The embodiment of the invention can improve the prediction precision of the prognosis state.
本公开涉及一种预测模型构建方法及装置、预测方法及装置、电子设备，所述预测模型的构建方法包括：获取脑灌注影像集内各脑灌注影像的感兴趣区域的第一影像特征，所述感兴趣区域包括异常区域；从所述第一影像特征中筛选出满足预设条件的第二影像特征；基于所述第二影像特征得到生存特征；基于所述第二影像特征和所述生存特征，训练模型，并得到用于评估预后状态的预测模型。本公开实施例可提高预后状态的预测精度。</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 | Prediction model construction method and device, prediction method and device and electronic equipment |
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