Deep learning-based intelligent outpatient medical record writing method and system
The invention provides an intelligent outpatient medical record writing method and system based on deep learning, and the method comprises the following steps: obtaining the illness state information of a patient, and constructing a patient feature vector; according to the patient feature vector and...
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creator | XU CHUANXUE DING LEI LI YUAN LIU XIAOMEI SUN ZHAO LI TAO |
description | The invention provides an intelligent outpatient medical record writing method and system based on deep learning, and the method comprises the following steps: obtaining the illness state information of a patient, and constructing a patient feature vector; according to the patient feature vector and the deep learning model group, obtaining a recommendation expression, and assisting a doctor to write an outpatient medical record; wherein the deep learning model group is composed of a plurality of deep learning models, and each deep learning model corresponds to each element in the patient feature vector. The deep learning model and the knowledge graph are adopted to analyze the condition of the patient, writing of high-quality medical records is rapidly completed, the writing speed and quality of the medical records are improved, the medical record writing workload of a doctor is reduced, and the outpatient diagnosis efficiency is improved.
本公开提供了一种基于深度学习的门诊病历智能撰写方法及系统,包括以下步骤:获取患者的病情信息,构造患者特征向量;根据患者特征向量与深度学习模型 |
format | Patent |
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本公开提供了一种基于深度学习的门诊病历智能撰写方法及系统,包括以下步骤:获取患者的病情信息,构造患者特征向量;根据患者特征向量与深度学习模型</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=20220422&DB=EPODOC&CC=CN&NR=114388093A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220422&DB=EPODOC&CC=CN&NR=114388093A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XU CHUANXUE</creatorcontrib><creatorcontrib>DING LEI</creatorcontrib><creatorcontrib>LI YUAN</creatorcontrib><creatorcontrib>LIU XIAOMEI</creatorcontrib><creatorcontrib>SUN ZHAO</creatorcontrib><creatorcontrib>LI TAO</creatorcontrib><title>Deep learning-based intelligent outpatient medical record writing method and system</title><description>The invention provides an intelligent outpatient medical record writing method and system based on deep learning, and the method comprises the following steps: obtaining the illness state information of a patient, and constructing a patient feature vector; according to the patient feature vector and the deep learning model group, obtaining a recommendation expression, and assisting a doctor to write an outpatient medical record; wherein the deep learning model group is composed of a plurality of deep learning models, and each deep learning model corresponds to each element in the patient feature vector. The deep learning model and the knowledge graph are adopted to analyze the condition of the patient, writing of high-quality medical records is rapidly completed, the writing speed and quality of the medical records are improved, the medical record writing workload of a doctor is reduced, and the outpatient diagnosis efficiency is improved.
本公开提供了一种基于深度学习的门诊病历智能撰写方法及系统,包括以下步骤:获取患者的病情信息,构造患者特征向量;根据患者特征向量与深度学习模型</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>eNqNi7EKwjAURbM4iPoPzw8oWOJQR6mKk4vu5Zlc20CahOSJ-PdW8AOc7uFw7lxdD0AiD87Bhb66c4ElFwTeux5BKD4lsbgvjrDOsKcME7OlV3YyfSYtQ7TEwVJ5F8G4VLMH-4LVbxdqfTre2nOFFDuUxAYB0rWXut7qptns9F7_03wAlKY49Q</recordid><startdate>20220422</startdate><enddate>20220422</enddate><creator>XU CHUANXUE</creator><creator>DING LEI</creator><creator>LI YUAN</creator><creator>LIU XIAOMEI</creator><creator>SUN ZHAO</creator><creator>LI TAO</creator><scope>EVB</scope></search><sort><creationdate>20220422</creationdate><title>Deep learning-based intelligent outpatient medical record writing method and system</title><author>XU CHUANXUE ; DING LEI ; LI YUAN ; LIU XIAOMEI ; SUN ZHAO ; LI TAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114388093A3</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>XU CHUANXUE</creatorcontrib><creatorcontrib>DING LEI</creatorcontrib><creatorcontrib>LI YUAN</creatorcontrib><creatorcontrib>LIU XIAOMEI</creatorcontrib><creatorcontrib>SUN ZHAO</creatorcontrib><creatorcontrib>LI TAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XU CHUANXUE</au><au>DING LEI</au><au>LI YUAN</au><au>LIU XIAOMEI</au><au>SUN ZHAO</au><au>LI TAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Deep learning-based intelligent outpatient medical record writing method and system</title><date>2022-04-22</date><risdate>2022</risdate><abstract>The invention provides an intelligent outpatient medical record writing method and system based on deep learning, and the method comprises the following steps: obtaining the illness state information of a patient, and constructing a patient feature vector; according to the patient feature vector and the deep learning model group, obtaining a recommendation expression, and assisting a doctor to write an outpatient medical record; wherein the deep learning model group is composed of a plurality of deep learning models, and each deep learning model corresponds to each element in the patient feature vector. The deep learning model and the knowledge graph are adopted to analyze the condition of the patient, writing of high-quality medical records is rapidly completed, the writing speed and quality of the medical records are improved, the medical record writing workload of a doctor is reduced, and the outpatient diagnosis efficiency is improved.
本公开提供了一种基于深度学习的门诊病历智能撰写方法及系统,包括以下步骤:获取患者的病情信息,构造患者特征向量;根据患者特征向量与深度学习模型</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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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 | Deep learning-based intelligent outpatient medical record writing method and system |
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