USER-CUSTOMIZED ONLINE RECOMMENDATION SYSTEM AND METHOD USING HEALTH CHECKUP CHART
Embodiments of the present invention may comprise: a health checkup chart image transmission step in which a user terminal photographs a user's health checkup chart and transmits the photographed health checkup chart image to a health content recommendation server; an item-specific health index...
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creator | HEO, Seok Min JEON, Hyun Ju HEO, Deung HEO, Hyeok |
description | Embodiments of the present invention may comprise: a health checkup chart image transmission step in which a user terminal photographs a user's health checkup chart and transmits the photographed health checkup chart image to a health content recommendation server; an item-specific health index extraction step in which the health content recommendation server extracts a user's health index for each item by using the health checkup chart image received from the user terminal; a user health analysis step in which the health content recommendation server extracts a health index for each item deviating from a set normal value; a deep learning-based health content information generation step in which the health content recommendation server applies the health index for each item deviating from the set normal value to deep learning of big data so as to generate deep learning-based health content information; a physical constitution analysis-based health content information generation step in which the health content recommendation server applies the health index for each item deviating from the set normal value to a physical constitution analysis tool so as to generate physical constitution analysis-based health content information; a user-customized health content information transmission step in which the health content recommendation server transmits, to the user terminal, the deep learning-based health content information and the physical constitution analysis-based health content information as user-customized health content information; a user-customized health content information recommendation step in which the user terminal displays and recommends user-customized health content information received from the health content recommendation server. |
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an item-specific health index extraction step in which the health content recommendation server extracts a user's health index for each item by using the health checkup chart image received from the user terminal; a user health analysis step in which the health content recommendation server extracts a health index for each item deviating from a set normal value; a deep learning-based health content information generation step in which the health content recommendation server applies the health index for each item deviating from the set normal value to deep learning of big data so as to generate deep learning-based health content information; a physical constitution analysis-based health content information generation step in which the health content recommendation server applies the health index for each item deviating from the set normal value to a physical constitution analysis tool so as to generate physical constitution analysis-based health content information; a user-customized health content information transmission step in which the health content recommendation server transmits, to the user terminal, the deep learning-based health content information and the physical constitution analysis-based health content information as user-customized health content information; 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an item-specific health index extraction step in which the health content recommendation server extracts a user's health index for each item by using the health checkup chart image received from the user terminal; a user health analysis step in which the health content recommendation server extracts a health index for each item deviating from a set normal value; a deep learning-based health content information generation step in which the health content recommendation server applies the health index for each item deviating from the set normal value to deep learning of big data so as to generate deep learning-based health content information; a physical constitution analysis-based health content information generation step in which the health content recommendation server applies the health index for each item deviating from the set normal value to a physical constitution analysis tool so as to generate physical constitution analysis-based health content information; a user-customized health content information transmission step in which the health content recommendation server transmits, to the user terminal, the deep learning-based health content information and the physical constitution analysis-based health content information as user-customized health content information; a user-customized health content information recommendation step in which the user terminal displays and recommends user-customized health content information received from the health content recommendation server.</description><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>eNqNyrEKwjAQANAuDqL-w4FzQaN2D8lpgs1FcpehLqVInEQL9f_RwQ9wesubVykzptpklhj8FS1Eaj0hJDQxBCSrxUcC7lgwgCYLAcVFC5k9ncChbsWBcWjO-fJVJ1lWs_vwmMrq56JaH1GMq8v46ss0DrfyLO8-s9oopfaNOjR6u_tvfQC9fDDC</recordid><startdate>20220804</startdate><enddate>20220804</enddate><creator>HEO, Seok Min</creator><creator>JEON, Hyun Ju</creator><creator>HEO, Deung</creator><creator>HEO, Hyeok</creator><scope>EVB</scope></search><sort><creationdate>20220804</creationdate><title>USER-CUSTOMIZED ONLINE RECOMMENDATION SYSTEM AND METHOD USING HEALTH CHECKUP CHART</title><author>HEO, Seok Min ; JEON, Hyun Ju ; HEO, Deung ; HEO, Hyeok</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2022246256A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2022</creationdate><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>HEO, Seok Min</creatorcontrib><creatorcontrib>JEON, Hyun Ju</creatorcontrib><creatorcontrib>HEO, Deung</creatorcontrib><creatorcontrib>HEO, Hyeok</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HEO, Seok Min</au><au>JEON, Hyun Ju</au><au>HEO, Deung</au><au>HEO, Hyeok</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>USER-CUSTOMIZED ONLINE RECOMMENDATION SYSTEM AND METHOD USING HEALTH CHECKUP CHART</title><date>2022-08-04</date><risdate>2022</risdate><abstract>Embodiments of the present invention may comprise: a health checkup chart image transmission step in which a user terminal photographs a user's health checkup chart and transmits the photographed health checkup chart image to a health content recommendation server; an item-specific health index extraction step in which the health content recommendation server extracts a user's health index for each item by using the health checkup chart image received from the user terminal; a user health analysis step in which the health content recommendation server extracts a health index for each item deviating from a set normal value; a deep learning-based health content information generation step in which the health content recommendation server applies the health index for each item deviating from the set normal value to deep learning of big data so as to generate deep learning-based health content information; a physical constitution analysis-based health content information generation step in which the health content recommendation server applies the health index for each item deviating from the set normal value to a physical constitution analysis tool so as to generate physical constitution analysis-based health content information; a user-customized health content information transmission step in which the health content recommendation server transmits, to the user terminal, the deep learning-based health content information and the physical constitution analysis-based health content information as user-customized health content information; a user-customized health content information recommendation step in which the user terminal displays and recommends user-customized health content information received from the health content recommendation server.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | 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 | USER-CUSTOMIZED ONLINE RECOMMENDATION SYSTEM AND METHOD USING HEALTH CHECKUP CHART |
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