{"id":"https://openalex.org/W4409362258","doi":"https://doi.org/10.1142/s0218001425500132","title":"AN Advanced AI Approach-Based Skin Disease Prediction System Utilizing EN-QNN and Grad-CAM in IoMT Environment","display_name":"AN Advanced AI Approach-Based Skin Disease Prediction System Utilizing EN-QNN and Grad-CAM in IoMT Environment","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409362258","doi":"https://doi.org/10.1142/s0218001425500132"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425500132","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500132","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5116236876","display_name":"Bhavya Kadiyala","orcid":"https://orcid.org/0009-0001-0255-0052"},"institutions":[{"id":"https://openalex.org/I1286960001","display_name":"Parkland Health & Hospital System","ror":"https://ror.org/04rt7ps04","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1286960001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhavya Kadiyala","raw_affiliation_strings":["Parkland Health, Dallas, TX, USA"],"raw_orcid":"https://orcid.org/0009-0001-0255-0052","affiliations":[{"raw_affiliation_string":"Parkland Health, Dallas, TX, USA","institution_ids":["https://openalex.org/I1286960001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116236877","display_name":"Sunil Kumar Alavilli","orcid":"https://orcid.org/0009-0001-5624-6830"},"institutions":[{"id":"https://openalex.org/I4210149651","display_name":"St. Franziskus Hospital","ror":"https://ror.org/051nxfa23","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210149651"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sunil Kumar Alavilli","raw_affiliation_strings":["Sephora, San Fransico, CA, USA"],"raw_orcid":"https://orcid.org/0009-0001-5624-6830","affiliations":[{"raw_affiliation_string":"Sephora, San Fransico, CA, USA","institution_ids":["https://openalex.org/I4210149651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116236874","display_name":"Rajani Priya Nippatla","orcid":"https://orcid.org/0009-0005-2530-1488"},"institutions":[{"id":"https://openalex.org/I927589877","display_name":"Kelly Services (United States)","ror":"https://ror.org/00xwgwv92","country_code":"US","type":"company","lineage":["https://openalex.org/I927589877"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajani Priya Nippatla","raw_affiliation_strings":["Kellton Technologies Inc., Plano, TX, USA"],"raw_orcid":"https://orcid.org/0009-0005-2530-1488","affiliations":[{"raw_affiliation_string":"Kellton Technologies Inc., Plano, TX, USA","institution_ids":["https://openalex.org/I927589877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116236878","display_name":"Subramanyam Boyapati","orcid":"https://orcid.org/0009-0006-1458-677X"},"institutions":[{"id":"https://openalex.org/I4210149506","display_name":"American Express (United States)","ror":"https://ror.org/05rckx884","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subramanyam Boyapati","raw_affiliation_strings":["American Express, Phoenix, AZ, USA"],"raw_orcid":"https://orcid.org/0009-0006-1458-677X","affiliations":[{"raw_affiliation_string":"American Express, Phoenix, AZ, USA","institution_ids":["https://openalex.org/I4210149506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116236875","display_name":"Chaitanya Vasamsetty","orcid":"https://orcid.org/0009-0006-2047-634X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaitanya Vasamsetty","raw_affiliation_strings":["Elevance Health, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0009-0006-2047-634X","affiliations":[{"raw_affiliation_string":"Elevance Health, Atlanta, GA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100637484","display_name":"Harleen Kaur","orcid":"https://orcid.org/0000-0001-9780-2138"},"institutions":[{"id":"https://openalex.org/I19716509","display_name":"Jamia Hamdard","ror":"https://ror.org/03dwxvb85","country_code":"IN","type":"education","lineage":["https://openalex.org/I19716509"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harleen Kaur","raw_affiliation_strings":["Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0001-9780-2138","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India","institution_ids":["https://openalex.org/I19716509"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11577756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"13","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14463","display_name":"Diverse Scientific Research Studies","score":0.5609999895095825,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T14463","display_name":"Diverse Scientific Research Studies","score":0.5609999895095825,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737774014472961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6488342881202698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47658273577690125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32191282510757446}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737774014472961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6488342881202698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47658273577690125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32191282510757446}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425500132","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500132","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W3114688163","https://openalex.org/W3123619653","https://openalex.org/W3128797821","https://openalex.org/W3138118097","https://openalex.org/W3158420105","https://openalex.org/W3162961310","https://openalex.org/W3167396837","https://openalex.org/W3186719434","https://openalex.org/W3217502178","https://openalex.org/W4206161246","https://openalex.org/W4206242083","https://openalex.org/W4210894459","https://openalex.org/W4210897777","https://openalex.org/W4214767762","https://openalex.org/W4226405060","https://openalex.org/W4229003689","https://openalex.org/W4307497971","https://openalex.org/W4308889883","https://openalex.org/W4312251513","https://openalex.org/W4312684710","https://openalex.org/W4379280033","https://openalex.org/W4386769146","https://openalex.org/W4387186854","https://openalex.org/W4387587551","https://openalex.org/W4389620581","https://openalex.org/W4391281763","https://openalex.org/W4391342316","https://openalex.org/W4399526716"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Skin":[0],"acts":[1],"as":[2],"a":[3,184],"natural":[4],"shield,":[5],"protecting":[6],"the":[7,73,89],"body":[8],"from":[9,165],"ultraviolet":[10],"rays,":[11],"extreme":[12],"weather,":[13],"and":[14,26,44,86,99,107,116,120,131,161,171],"harmful":[15],"chemicals.":[16],"However,":[17],"it":[18,59],"can":[19],"be":[20],"affected":[21],"by":[22,113],"pollution,":[23],"weakened":[24],"immunity,":[25],"unhealthy":[27],"lifestyles,":[28],"leading":[29],"to":[30,61],"various":[31],"skin":[32,52,81,97,174],"diseases.":[33],"Early":[34],"detection":[35],"of":[36,96,133,187],"these":[37],"conditions":[38,65],"is":[39,146],"crucial":[40],"for":[41,80],"timely":[42],"treatment":[43],"better":[45],"outcomes.":[46],"Existing":[47],"research":[48],"has":[49],"often":[50],"overlooked":[51],"diseases":[53,98,175],"with":[54],"similar":[55],"visual":[56,67],"characteristics,":[57],"making":[58],"challenging":[60],"distinguish":[62],"between":[63],"different":[64],"using":[66,84,93,110,118,137,140,178],"inspection":[68],"alone.":[69],"To":[70],"address":[71],"this,":[72],"paper":[74],"proposes":[75],"an":[76],"AI-enabled":[77],"prediction":[78,83,154],"framework":[79],"disease":[82,152],"EN-QNN":[85],"Grad-CAM.":[87],"Initially,":[88],"images":[90],"are":[91,124,135,159,163,176],"collected":[92],"IoMT":[94],"devices":[95],"undergo":[100],"preprocessing,":[101],"which":[102],"includes":[103],"resizing,":[104],"noise":[105],"removal":[106],"contrast":[108],"enhancement":[109],"AK-CLAHE,":[111],"followed":[112],"color":[114],"analysis":[115],"segmentation":[117],"YCbCr":[119],"DF-U-Net.":[121],"Morphological":[122],"operations":[123],"then":[125],"applied":[126],"during":[127],"post-processing.":[128],"The":[129,180],"shape":[130],"structure":[132],"lesions":[134],"analyzed":[136],"CMED.":[138],"Meanwhile,":[139],"Grad-CAM,":[141],"Contextual":[142],"Information":[143],"Analysis":[144],"(CIA)":[145],"performed":[147],"on":[148],"preprocessed":[149],"data.":[150],"Concurrently,":[151],"symptom":[153],"data":[155],"(i.e.":[156],"clinical":[157],"data)":[158],"collected,":[160],"features":[162],"extracted":[164],"this":[166],"data,":[167],"including":[168],"boundary":[169],"localization":[170],"CIA.":[172],"Finally,":[173],"classified":[177],"EN-QNN.":[179],"proposed":[181],"model":[182],"achieved":[183],"high":[185],"accuracy":[186],"98.68051%,":[188],"surpassing":[189],"current":[190],"techniques.":[191]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
