{"id":"https://openalex.org/W4205349934","doi":"https://doi.org/10.32604/iasc.2022.022976","title":"To Control Diabetes Using Machine Learning Algorithm and Calorie Measurement Technique","display_name":"To Control Diabetes Using Machine Learning Algorithm and Calorie Measurement Technique","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205349934","doi":"https://doi.org/10.32604/iasc.2022.022976"},"language":"en","primary_location":{"id":"doi:10.32604/iasc.2022.022976","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.022976","pdf_url":"https://www.techscience.com/ueditor/files/iasc/TSP_IASC-33-1/TSP_IASC_22976/TSP_IASC_22976.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.techscience.com/ueditor/files/iasc/TSP_IASC-33-1/TSP_IASC_22976/TSP_IASC_22976.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050025185","display_name":"T. Viveka","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"T. Viveka","raw_affiliation_strings":["Department of Computer Science and Engineering, University College of Engineering, Konam, Kanyakumari, 629004, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University College of Engineering, Konam, Kanyakumari, 629004, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109530488","display_name":"C. Christopher Columbus","orcid":null},"institutions":[{"id":"https://openalex.org/I118826373","display_name":"Tirunelveli Medical College","ror":"https://ror.org/01c4srk95","country_code":"IN","type":"education","lineage":["https://openalex.org/I118826373"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Christopher Columbus","raw_affiliation_strings":["Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627152, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627152, India","institution_ids":["https://openalex.org/I118826373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052707829","display_name":"Naveen Velmurugan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Senthil Velmurugan","raw_affiliation_strings":["Department of Mathematics, Rohini College of Engineering and Technology, Kanyakumari, Tamil Nadu, 629401, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Rohini College of Engineering and Technology, Kanyakumari, Tamil Nadu, 629401, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050025185"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7366,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79588981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"33","issue":"1","first_page":"535","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9990000128746033,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9531999826431274,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.7451555728912354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6795125007629395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6510990262031555},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5426403284072876},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.49537336826324463},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4607253074645996},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4400060474872589},{"id":"https://openalex.org/keywords/meal","display_name":"Meal","score":0.4340498745441437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37315213680267334},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16646093130111694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451555728912354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6795125007629395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6510990262031555},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5426403284072876},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.49537336826324463},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4607253074645996},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4400060474872589},{"id":"https://openalex.org/C2778345441","wikidata":"https://www.wikidata.org/wiki/Q6460735","display_name":"Meal","level":2,"score":0.4340498745441437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37315213680267334},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16646093130111694},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/iasc.2022.022976","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.022976","pdf_url":"https://www.techscience.com/ueditor/files/iasc/TSP_IASC-33-1/TSP_IASC_22976/TSP_IASC_22976.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/iasc.2022.022976","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.022976","pdf_url":"https://www.techscience.com/ueditor/files/iasc/TSP_IASC-33-1/TSP_IASC_22976/TSP_IASC_22976.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205349934.pdf","grobid_xml":"https://content.openalex.org/works/W4205349934.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2013791638","https://openalex.org/W2120725344","https://openalex.org/W2300288816","https://openalex.org/W2316700091","https://openalex.org/W2775450699","https://openalex.org/W2795391743","https://openalex.org/W2908897820","https://openalex.org/W2962459621","https://openalex.org/W2967160178","https://openalex.org/W2969368242","https://openalex.org/W2975391816","https://openalex.org/W3005377619","https://openalex.org/W3032534675","https://openalex.org/W3042567248","https://openalex.org/W3178435079","https://openalex.org/W6657290656","https://openalex.org/W6699742216","https://openalex.org/W6766246970","https://openalex.org/W6773659246"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Because":[0],"of":[1,41,55,94,137,199,221],"the":[2,39,53,64,67,110,138,143,195,219],"increasing":[3],"workload,":[4],"people":[5],"are":[6,148],"having":[7],"several":[8],"clinical":[9],"examinations":[10],"to":[11,51,98,100,165,187,217],"determine":[12,99,166],"their":[13],"health":[14],"status,":[15],"resulting":[16],"in":[17],"limited":[18],"time.":[19],"Here,":[20],"we":[21],"present":[22],"a":[23,180,222],"healthful":[24],"consuming":[25],"device":[26],"based":[27],"on":[28],"rule":[29],"mining":[30,69],"that":[31,43,57],"can":[32,126],"modify":[33],"your":[34,46,59],"parameter":[35],"dependency":[36],"and":[37,48,87,106,116,120,128,154,179,206],"recommend":[38],"varieties":[40],"meals":[42,56,65],"will":[44],"boost":[45],"fitness":[47],"assist":[49],"you":[50],"avoid":[52],"types":[54],"increase":[58],"risk":[60],"for":[61,73,89,151],"sicknesses.":[62],"Using":[63],"database,":[66],"data":[68],"technique":[70],"is":[71,97,163,169],"useful":[72],"gathering":[74],"meal":[75,191],"energy":[76],"from":[77,190],"breakfast,":[78,80],"after":[79,82,85],"lunch,":[81,83],"dinner,":[84,86],"bedtime":[88],"ninety":[90],"days.":[91],"The":[92,156],"purpose":[93],"this":[95],"study":[96,175],"mean":[101],"random":[102],"plasma":[103],"glucose":[104],"levels":[105,108],"h1bc":[107],"using":[109,210],"Nathan,":[111],"ADAG":[112],"(A1C-derived":[113],"average":[114],"glucose),":[115],"DTTC":[117],"(Dynamic":[118],"Temporal":[119],"Tactile":[121],"Cueing)":[122],"methods.":[123],"This":[124,174],"system":[125],"identify":[127],"recognize":[129],"food":[130,139],"images,":[131],"as":[132,134,202],"well":[133],"keep":[135],"track":[136,188],"items":[140],"ingested":[141],"by":[142],"user.":[144],"Deep":[145],"learning":[146,178,224],"techniques":[147],"mostly":[149],"utilized":[150],"picture":[152],"recognition":[153],"categorization.":[155],"KNN":[157],"(k-nearest":[158],"neighbors":[159],"algorithm)":[160],"classification":[161],"approach":[162],"used":[164,197],"if":[167],"diabetes":[168],"normal,":[170],"pre-diabetic,":[171],"or":[172],"chronic.":[173],"employs":[176],"deep":[177],"smart":[181],"camera":[182],"app":[183],"called":[184],"\u201ccalorie":[185],"mom\u201d":[186],"nutrition":[189],"photographs.":[192],"In":[193],"addition,":[194],"commonly":[196],"measures":[198],"divisions":[200],"such":[201],"accuracy,":[203],"sensitivity,":[204],"uniqueness,":[205],"recalling":[207],"diabetic":[208],"dataset":[209],"Python":[211],"3":[212],"Jupyter":[213],"Notebook":[214],"were":[215],"employed":[216],"evaluate":[218],"performance":[220],"machine":[223],"classifier.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}