{"id":"https://openalex.org/W3111234359","doi":"https://doi.org/10.3233/jifs-189477","title":"A sensor based intelligent system for classification and assistance of diabetes patients in telemedicine technology","display_name":"A sensor based intelligent system for classification and assistance of diabetes patients in telemedicine technology","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3111234359","doi":"https://doi.org/10.3233/jifs-189477","mag":"3111234359"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-189477","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189477","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5031513708","display_name":"S. Poonguzhali","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S, Poonguzhali","raw_affiliation_strings":["School of Electrical and Electronics, Sathyabama Institute of Science and Technology, Chennai"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics, Sathyabama Institute of Science and Technology, Chennai","institution_ids":["https://openalex.org/I43814544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029486915","display_name":"Rekha Chakravarthi","orcid":"https://orcid.org/0000-0002-8428-5407"},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rekha Chakravarthi","raw_affiliation_strings":["School of Electrical and Electronics, Sathyabama Institute of Science and Technology, Chennai"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics, Sathyabama Institute of Science and Technology, Chennai","institution_ids":["https://openalex.org/I43814544"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031513708"],"corresponding_institution_ids":["https://openalex.org/I43814544"],"apc_list":null,"apc_paid":null,"fwci":0.5878,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80626552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"40","issue":"4","first_page":"6365","last_page":"6374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9883000254631042,"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":0.9883000254631042,"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/T10560","display_name":"Diabetes Management and Research","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6840449571609497},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6821942329406738},{"id":"https://openalex.org/keywords/telemedicine","display_name":"Telemedicine","score":0.6777260899543762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6489677429199219},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.6245288252830505},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4533686637878418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4268163740634918},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41646936535835266},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.40019822120666504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35341382026672363},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.16407936811447144},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13778889179229736},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11291942000389099}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6840449571609497},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6821942329406738},{"id":"https://openalex.org/C2779891985","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telemedicine","level":3,"score":0.6777260899543762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6489677429199219},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.6245288252830505},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4533686637878418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4268163740634918},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41646936535835266},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40019822120666504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35341382026672363},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.16407936811447144},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13778889179229736},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11291942000389099},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-189477","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189477","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1549812288","https://openalex.org/W1939277701","https://openalex.org/W1965146429","https://openalex.org/W2020089616","https://openalex.org/W2045262022","https://openalex.org/W2071458839","https://openalex.org/W2091374826","https://openalex.org/W2091601299","https://openalex.org/W2096146363","https://openalex.org/W2110793574","https://openalex.org/W2186146257","https://openalex.org/W2186917290","https://openalex.org/W2297105059","https://openalex.org/W2344183250","https://openalex.org/W2344850968","https://openalex.org/W2758818073","https://openalex.org/W2783741365","https://openalex.org/W2786283996","https://openalex.org/W2796139277","https://openalex.org/W2972417292","https://openalex.org/W2981048396","https://openalex.org/W3016928241","https://openalex.org/W4229984599"],"related_works":["https://openalex.org/W1580898361","https://openalex.org/W4280587861","https://openalex.org/W2302677685","https://openalex.org/W4200332661","https://openalex.org/W3021957403","https://openalex.org/W2025207717","https://openalex.org/W4214937769","https://openalex.org/W2798048486","https://openalex.org/W2093767521","https://openalex.org/W3015773352"],"abstract_inverted_index":{"Diabetes":[0],"is":[1,32,56,82,100,124,170,198],"one":[2],"of":[3,74,80,120,146,164],"the":[4,47,70,85,103,134,149,155,165,192,196],"chronic":[5],"metabolic":[6],"disorder.":[7],"Under":[8],"diabetic":[9],"condition,":[10,144],"blood":[11,147],"glucose":[12,75,141],"level":[13,76],"should":[14],"be":[15,28,44,108,128,230],"properly":[16],"maintained":[17],"in":[18,111,154,172,182,232],"order":[19],"to":[20,107,130,200,229],"avoid":[21],"various":[22],"major":[23],"diseases.":[24],"The":[25,162,204,225],"condition":[26],"will":[27],"worse":[29],"when":[30,46],"it":[31,123],"not":[33],"controlled":[34],"at":[35],"an":[36],"earlier":[37],"stage.":[38],"Even":[39],"massive":[40],"heart":[41,66,139],"attack":[42,67],"cannot":[43],"identified":[45],"patient":[48,197],"has":[49],"been":[50],"affected":[51],"by":[52],"diabetes.":[53],"Early":[54],"diagnosis":[55,79,104,116,167],"required":[57,101,135],"for":[58,102,115,221],"preventing":[59],"fatal":[60],"diseases":[61],"like":[62,138],"cardiac":[63],"problem,":[64],"asthma,":[65],"etc.":[68],"In":[69],"proposed":[71,205],"system":[72,193,227],"measurement":[73],"and":[77,113,117,132,168,188,218,235],"Prediction/":[78],"diabetes":[81,121,201],"based":[83],"on":[84,93],"real":[86,222],"time":[87,223],"low":[88],"complexity":[89],"neural":[90,176],"network":[91,99,177],"implemented":[92],"a":[94],"wearable":[95,156],"device.":[96],"A":[97],"larger":[98],"which":[105],"needs":[106],"present":[109],"far-off":[110],"cloud":[112],"initiated":[114],"classification":[118],"process":[119],"whenever":[122],"essential.":[125],"People":[126],"can":[127],"able":[129],"manage":[131],"monitor":[133],"basic":[136],"parameters":[137],"rate,":[140],"level,":[142],"lung":[143],"pressure":[145],"using":[148,209],"corresponding":[150],"light":[151],"weight":[152],"biosensors":[153],"device":[157],"designed":[158],"through":[159],"telemedicine":[160],"technology.":[161],"quality":[163],"disease":[166],"Prediction":[169],"improved":[171],"this":[173],"way.":[174],"Using":[175],"feed":[178],"forward":[179],"prediction":[180],"model":[181],"conjugation":[183],"with":[184],"back":[185],"propagation":[186],"algorithm":[187],"given":[189],"training":[190],"data,":[191],"predicts":[194],"whether":[195],"prone":[199],"or":[202],"not.":[203],"work":[206],"was":[207],"evaluated":[208],"physic":[210],"sensor":[211],"data":[212,216],"from":[213],"physio":[214],"net":[215],"base":[217],"also":[219],"tested":[220],"functioning.":[224],"Proposed":[226],"found":[228],"efficient":[231],"accuracy,":[233],"sensitivity":[234],"fast":[236],"operative.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}