{"id":"https://openalex.org/W2943662618","doi":"https://doi.org/10.1145/3310986.3311016","title":"Multi-view Neural Network Integrating Knowledge for Patient Self-diagnosis","display_name":"Multi-view Neural Network Integrating Knowledge for Patient Self-diagnosis","publication_year":2019,"publication_date":"2019-01-25","ids":{"openalex":"https://openalex.org/W2943662618","doi":"https://doi.org/10.1145/3310986.3311016","mag":"2943662618"},"language":"en","primary_location":{"id":"doi:10.1145/3310986.3311016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3310986.3311016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080563860","display_name":"Fangyuan Zhao","orcid":"https://orcid.org/0000-0001-9033-7843"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fangyuan Zhao","raw_affiliation_strings":["College of Information Science, and Engineering, Ocean University of China"],"affiliations":[{"raw_affiliation_string":"College of Information Science, and Engineering, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008564713","display_name":"Jianliang Xu","orcid":"https://orcid.org/0000-0001-9404-5848"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianliang Xu","raw_affiliation_strings":["College of Information Science, and Engineering, Ocean University of China"],"affiliations":[{"raw_affiliation_string":"College of Information Science, and Engineering, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101784720","display_name":"Lin Yong","orcid":"https://orcid.org/0000-0002-0574-3837"},"institutions":[{"id":"https://openalex.org/I4210098976","display_name":"Weichai Power (China)","ror":"https://ror.org/00yyvv226","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Lin","raw_affiliation_strings":["Weifang power supply company"],"affiliations":[{"raw_affiliation_string":"Weifang power supply company","institution_ids":["https://openalex.org/I4210098976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080563860"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03721578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6596953272819519},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5869541168212891},{"id":"https://openalex.org/keywords/medical-knowledge","display_name":"Medical knowledge","score":0.5814569592475891},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5317094922065735},{"id":"https://openalex.org/keywords/electronic-medical-record","display_name":"Electronic medical record","score":0.5221583843231201},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4965103268623352},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.48509037494659424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.476071298122406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4606589674949646},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45885801315307617},{"id":"https://openalex.org/keywords/patient-care","display_name":"Patient care","score":0.4440813660621643},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2341543436050415},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08535963296890259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596953272819519},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5869541168212891},{"id":"https://openalex.org/C2985722590","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medical knowledge","level":2,"score":0.5814569592475891},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5317094922065735},{"id":"https://openalex.org/C3018060332","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic medical record","level":2,"score":0.5221583843231201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4965103268623352},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.48509037494659424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.476071298122406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4606589674949646},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45885801315307617},{"id":"https://openalex.org/C2989236134","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Patient care","level":2,"score":0.4440813660621643},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2341543436050415},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08535963296890259},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.0},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3310986.3311016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3310986.3311016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W295894637","https://openalex.org/W2027035855","https://openalex.org/W2109676405","https://openalex.org/W2153578526","https://openalex.org/W2154579312","https://openalex.org/W2497764970","https://openalex.org/W2517617279","https://openalex.org/W2519887557","https://openalex.org/W2587223734","https://openalex.org/W2625625371","https://openalex.org/W2745673637","https://openalex.org/W2772905286","https://openalex.org/W2787495230","https://openalex.org/W2799103635","https://openalex.org/W2807929272","https://openalex.org/W2889577585","https://openalex.org/W2964142373","https://openalex.org/W3003166701","https://openalex.org/W3103323619","https://openalex.org/W3104523752","https://openalex.org/W6748139664","https://openalex.org/W6827631278"],"related_works":["https://openalex.org/W2245747428","https://openalex.org/W2043241239","https://openalex.org/W2091636677","https://openalex.org/W2381274092","https://openalex.org/W2385306558","https://openalex.org/W2371025015","https://openalex.org/W4205272636","https://openalex.org/W2034413863","https://openalex.org/W2368805154","https://openalex.org/W2390540328"],"abstract_inverted_index":{"The":[0,118,147],"electronic":[1,114],"medical":[2,14,18,107,115],"records":[3],"contain":[4],"a":[5,65,106],"wealth":[6],"of":[7,21,46,74,77,89,130,136,144,154],"information,":[8],"and":[9,30,52,84,97,139],"are":[10,24,33],"used":[11],"in":[12,28,120],"many":[13],"tasks":[15],"such":[16],"as":[17],"diagnosis.":[19],"Most":[20],"the":[22,43,49,58,72,78,87,94,101,112,127,131,134,142,145,152,155],"research":[23],"to":[25,56,69],"assist":[26],"doctors":[27],"diagnosis,":[29],"few":[31],"studies":[32],"based":[34,110],"on":[35,111],"patient":[36],"self-diagnosis.":[37],"Our":[38],"work":[39],"is":[40],"completely":[41],"from":[42],"patient's":[44,50,59,95,113],"point":[45],"view,":[47],"through":[48,93],"symptoms":[51,96],"discomfort":[53],"body":[54,98],"parts":[55],"determine":[57],"possible":[60],"disease.":[61],"We":[62],"have":[63],"designed":[64],"multi-view":[66],"neural":[67],"network":[68],"fully":[70],"capture":[71],"characteristics":[73],"multiple":[75],"aspects":[76],"patient,":[79,132],"then":[80],"perform":[81],"feature":[82],"fusion,":[83],"finally":[85],"achieve":[86],"purpose":[88],"predicting":[90],"disease":[91,129,137],"only":[92],"parts.":[99],"At":[100],"same":[102],"time,":[103],"we":[104],"create":[105],"knowledge":[108,121],"graph":[109,122],"record":[116],"data.":[117],"facts":[119],"can":[123],"effectively":[124,140],"screen":[125],"out":[126],"candidate":[128],"reduce":[133],"range":[135],"selection,":[138],"improve":[141],"accuracy":[143],"prediction.":[146],"experimental":[148],"results":[149],"also":[150],"confirmed":[151],"effectiveness":[153],"modified":[156],"method.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}