{"id":"https://openalex.org/W4416084206","doi":"https://doi.org/10.1016/j.engappai.2025.113041","title":"Deep Graph Weighted Convolutional Neural Network for healthcare recommendation with semantic level similarity hashing","display_name":"Deep Graph Weighted Convolutional Neural Network for healthcare recommendation with semantic level similarity hashing","publication_year":2025,"publication_date":"2025-11-10","ids":{"openalex":"https://openalex.org/W4416084206","doi":"https://doi.org/10.1016/j.engappai.2025.113041"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2025.113041","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2025.113041","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.engappai.2025.113041","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035949981","display_name":"T. Mahesh Selvi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"T. Mahesh Selvi","raw_affiliation_strings":["Department of Computer Science and Engineering, University College of Engineering, Thirukkuvalai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University College of Engineering, Thirukkuvalai, Tamil Nadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003019865","display_name":"V. Kavitha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Kavitha","raw_affiliation_strings":["Department of CSE, University College of Engineering, Kancheepuram, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, University College of Engineering, Kancheepuram, Tamil Nadu, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035949981"],"corresponding_institution_ids":[],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":{"value":3170,"currency":"USD","value_usd":3170},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.189934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"163","issue":null,"first_page":"113041","last_page":"113041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9154999852180481,"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":0.9154999852180481,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.014999999664723873,"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/T10028","display_name":"Topic Modeling","score":0.008700000122189522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6025999784469604},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5978000164031982},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5670999884605408},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5169000029563904},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4961000084877014},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.45329999923706055},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43639999628067017},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41280001401901245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8618000149726868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6459000110626221},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6025999784469604},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5978000164031982},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5670999884605408},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5169000029563904},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4629000127315521},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.45329999923706055},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41280001401901245},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3765999972820282},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.36550000309944153},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.33000001311302185},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.32089999318122864},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.31940001249313354},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.28130000829696655},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.26829999685287476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2025.113041","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2025.113041","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.engappai.2025.113041","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2025.113041","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2039613841","https://openalex.org/W2789519695","https://openalex.org/W2943449403","https://openalex.org/W2954351090","https://openalex.org/W2967011433","https://openalex.org/W2972541642","https://openalex.org/W2978342152","https://openalex.org/W2984010107","https://openalex.org/W2994711216","https://openalex.org/W2997738902","https://openalex.org/W3013736701","https://openalex.org/W3014344177","https://openalex.org/W3014413412","https://openalex.org/W3087023925","https://openalex.org/W3092530991","https://openalex.org/W3107194210","https://openalex.org/W3111158081","https://openalex.org/W3111468671","https://openalex.org/W3113754796","https://openalex.org/W3124258484","https://openalex.org/W3131013500","https://openalex.org/W3137806841","https://openalex.org/W3184301700","https://openalex.org/W4200046635","https://openalex.org/W4220867892","https://openalex.org/W4401538873","https://openalex.org/W4403334308","https://openalex.org/W4408181547"],"related_works":[],"abstract_inverted_index":{"Online":[0],"healthcare":[1,31,124,195],"recommendation":[2],"systems":[3,29],"leverage":[4],"deep":[5,191],"learning":[6,192,207],"(DL)":[7],"and":[8,15,24,56,87,99,148,161,178],"graph-based":[9],"models":[10,193],"to":[11,115],"process":[12],"user-generated":[13],"content":[14],"medical":[16,200,216],"expert":[17],"input":[18],"from":[19],"platforms":[20],"like":[21,143],"health":[22],"forums":[23],"social":[25],"media.":[26],"While":[27],"these":[28],"enhance":[30],"information":[32],"distribution,":[33],"they":[34],"face":[35],"challenges":[36],"such":[37],"as":[38],"the":[39,64,135,159,185,203,213],"cold":[40],"start":[41],"problem,":[42],"data":[43,152],"imbalances,":[44],"ineffective":[45],"representation":[46],"alignment,":[47],"limited":[48,131],"multimodal":[49],"capabilities,":[50],"suboptimal":[51],"preservation":[52],"of":[53,187,205,215],"disease":[54],"similarities,":[55],"sparsity":[57],"issues.":[58],"To":[59],"address":[60],"these,":[61],"we":[62],"propose":[63],"Deep":[65],"Graph":[66,81],"Weighted":[67,82],"Convolutional":[68,83],"Neural":[69,84],"Network":[70,85],"for":[71,107,211],"Healthcare":[72],"Recommendation":[73],"with":[74,130,167],"Semantic":[75,88],"Level":[76,89],"Similarity":[77,90],"Hashing":[78,91],"(DGWCSLSH),":[79],"integrating":[80],"(GWCNN)":[86],"(SLSH)":[92],"in":[93,194],"three":[94],"stages.":[95],"First,":[96],"patient":[97],"posts":[98],"physician":[100],"details":[101],"are":[102],"vectorized":[103],"using":[104],"Global":[105],"Vectors":[106],"Word":[108],"Representation":[109],"(GLoVe),":[110],"followed":[111],"by":[112],"weight":[113],"assignment":[114],"neighbor":[116],"features":[117],"via":[118],"GWCNN.":[119],"Next,":[120],"GWCNN":[121],"captures":[122],"intricate":[123],"relationships,":[125],"ensuring":[126],"effective":[127],"recommendations":[128],"even":[129],"user":[132],"interactions.":[133],"Finally,":[134],"SLSH":[136],"layer":[137],"refines":[138],"ranking":[139],"relevance.":[140],"Regularization":[141],"techniques":[142,208],"L1,":[144],"L2":[145],"mitigate":[146],"overfitting":[147],"class":[149],"imbalance,":[150],"while":[151],"augmentation":[153],"enriches":[154],"pattern":[155],"diversity.":[156],"Evaluation":[157],"on":[158],"Medhelp":[160],"haodf.org":[162],"datasets":[163],"showed":[164],"promising":[165],"results,":[166],"precision":[168],"(0.97,":[169,180],"0.96),":[170,173],"recall":[171],"(0.98,":[172],"F1":[174],"scores":[175],"(0.83,":[176],"0.90),":[177],"accuracy":[179],"0.96).":[181],"These":[182],"results":[183],"confirm":[184],"effectiveness":[186],"Artificial":[188],"Intelligence":[189],"(AI)-driven":[190],"recommendations,":[196],"demonstrating":[197],"adaptability":[198],"across":[199],"contexts.":[201],"Additionally,":[202],"application":[204],"transfer":[206],"holds":[209],"promise":[210],"enhancing":[212],"quality":[214],"care.":[217]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-11T00:00:00"}
