{"id":"https://openalex.org/W4405600605","doi":"https://doi.org/10.1109/access.2024.3516884","title":"Advancing Skin Disease Diagnosis: A Multimodal Approach Utilizing Telegram Api Token Chatbot for Text and Image Analysis in Skin Disease Classification","display_name":"Advancing Skin Disease Diagnosis: A Multimodal Approach Utilizing Telegram Api Token Chatbot for Text and Image Analysis in Skin Disease Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405600605","doi":"https://doi.org/10.1109/access.2024.3516884"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3516884","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3516884","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3516884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021603621","display_name":"Modigari Narendra","orcid":"https://orcid.org/0000-0003-1852-2803"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Modigari Narendra","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0003-1852-2803","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092914647","display_name":"T Harshini","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. S. Harshini","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India"],"raw_orcid":"https://orcid.org/0009-0006-0408-731X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076924939","display_name":"L. Jani Anbarasi","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"L. Jani Anbarasi","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0002-8904-2236","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.8484,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95438527,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"189009","last_page":"189023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9362000226974487,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9362000226974487,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.9291999936103821,"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/computer-science","display_name":"Computer science","score":0.7685023546218872},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6678639054298401},{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.6187014579772949},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5451734066009521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4636567234992981},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2176150381565094},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.142296701669693},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11260208487510681}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685023546218872},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6678639054298401},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.6187014579772949},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5451734066009521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4636567234992981},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2176150381565094},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.142296701669693},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11260208487510681}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3516884","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3516884","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:25af236e492c47b6872bf74521e8657d","is_oa":true,"landing_page_url":"https://doaj.org/article/25af236e492c47b6872bf74521e8657d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 189009-189023 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3516884","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3516884","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2794825826","https://openalex.org/W2914959431","https://openalex.org/W2922703796","https://openalex.org/W2945587898","https://openalex.org/W2971189227","https://openalex.org/W2996977442","https://openalex.org/W3007641206","https://openalex.org/W3015806114","https://openalex.org/W3045827876","https://openalex.org/W3123619653","https://openalex.org/W3156313549","https://openalex.org/W3211559498","https://openalex.org/W4200204081","https://openalex.org/W4220786947","https://openalex.org/W4225395209","https://openalex.org/W4281703109","https://openalex.org/W4285503435","https://openalex.org/W4367598346"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W4387007686","https://openalex.org/W3084631705"],"abstract_inverted_index":{"The":[0,81,136,257,270],"human":[1],"skin":[2,42,52,100,297],"serves":[3],"as":[4],"a":[5,51,57,77,178,280],"critical":[6],"indicator":[7],"of":[8,16,34,119,189,234,262,268,277,283,296],"underlying":[9],"health":[10],"conditions,":[11],"often":[12],"manifesting":[13],"early":[14],"signs":[15,23],"disorders":[17],"affecting":[18],"internal":[19],"organs.":[20],"Recognizing":[21],"these":[22],"is":[24,43,84,123],"crucial":[25],"for":[26,181,202,247,255],"timely":[27],"diagnosis":[28],"and":[29,71,104,110,116,133,163,213,249,251,264,286,293],"treatment.":[30],"However,":[31],"the":[32,35,41,87,114,120,127,131,166,187,223,240],"significance":[33],"body\u2019s":[36],"natural":[37],"defence":[38],"mechanism":[39],"through":[40],"sometimes":[44],"overlooked.":[45],"This":[46,215],"study":[47],"aims":[48],"to":[49,85,90,142,150,173,209,290],"develop":[50],"disease":[53],"classification":[54,121],"system":[55,122],"using":[56,63,96],"multimodal":[58],"approach,":[59],"integrating":[60],"ensemble":[61,67],"methodology":[62],"DenseNet169":[64,162],"\u2013":[65],"Resnet50":[66],"Transfer":[68],"learning":[69,225],"models,":[70],"Natural":[72],"Language":[73],"Processing":[74],"(NLP)":[75],"within":[76],"Telegram":[78],"chatbot":[79,132],"interface.":[80],"primary":[82],"aim":[83],"enhance":[86],"chatbot\u2019s":[88,137],"ability":[89],"deliver":[91],"customised":[92],"skin-related":[93],"diagnoses":[94],"by":[95,125,169],"user-provided":[97],"information,":[98],"including":[99],"type,":[101],"chemical":[102],"exposure,":[103],"previous":[105],"treatments,":[106],"ensuring":[107,279],"more":[108,156,291],"precise":[109,292],"personalised":[111],"interactions.":[112],"Additionally,":[113],"accuracy":[115,261,276],"generalization":[117],"capability":[118],"improved":[124,210],"analysing":[126],"data":[128,285],"from":[129],"both":[130],"image":[134],"analysis.":[135],"self-learning":[138],"capabilities":[139],"allow":[140],"it":[141,155],"improve":[143],"its":[144,193],"comprehension":[145],"over":[146],"time":[147],"in":[148,177,229,239],"response":[149],"user":[151,284],"input,":[152],"which":[153],"makes":[154],"adept":[157],"at":[158],"personalising":[159],"queries.":[160],"Integrating":[161],"ResNet50":[164],"strengthens":[165],"feature":[167,211,224],"reuse":[168],"connecting":[170],"each":[171],"layer":[172,176],"every":[174],"other":[175],"dense":[179],"manner":[180],"efficient":[182],"gradient":[183,199],"flow":[184],"thus":[185],"reducing":[186],"number":[188],"parameters.":[190],"ResNet50,":[191],"with":[192,205,243],"residual":[194],"connections,":[195],"helps":[196],"mitigate":[197],"vanishing":[198],"issues,":[200],"allowing":[201],"deeper":[203],"networks":[204],"stable":[206],"training":[207,248,272],"leading":[208,289],"extraction":[212],"representation.":[214],"hybrid":[216],"approach":[217],"captures":[218],"fine-grained":[219],"global":[220],"features":[221],"enhancing":[222],"attaining":[226],"good":[227],"performance":[228],"complex":[230],"tasks.":[231],"A":[232],"total":[233],"11,747":[235],"images":[236,245,253],"were":[237],"evaluated":[238],"proposed":[241],"study,":[242],"7,930":[244],"allocated":[246],"validation,":[250],"3,817":[252],"designated":[254],"testing.":[256],"model":[258,273],"attained":[259],"an":[260,265,275],"77.07%":[263],"AUC":[266],"score":[267],"96.72%.":[269],"NLP":[271],"achieved":[274],"93.62%":[278],"comprehensive":[281],"understanding":[282],"accelerating":[287],"engagement,":[288],"personalized":[294],"predictions":[295],"disorders.":[298]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}