{"id":"https://openalex.org/W4391742530","doi":"https://doi.org/10.1109/imcom60618.2024.10418404","title":"User Empowerment on Heart Disease Using DTaaS","display_name":"User Empowerment on Heart Disease Using DTaaS","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4391742530","doi":"https://doi.org/10.1109/imcom60618.2024.10418404"},"language":"en","primary_location":{"id":"doi:10.1109/imcom60618.2024.10418404","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/imcom60618.2024.10418404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-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/A5108900549","display_name":"Jung X. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jung X. Lee","raw_affiliation_strings":["Towson University,Dept. of Computer &#x0026; Info. Sc.,Towson,MD,USA"],"affiliations":[{"raw_affiliation_string":"Towson University,Dept. of Computer &#x0026; Info. Sc.,Towson,MD,USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092590063","display_name":"Pouria Tayebi","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pouria Tayebi","raw_affiliation_strings":["Towson University,Dept. of Computer &#x0026; Info. Sc.,Towson,MD,USA"],"affiliations":[{"raw_affiliation_string":"Towson University,Dept. of Computer &#x0026; Info. Sc.,Towson,MD,USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073077129","display_name":"Yeong-Tae Song","orcid":"https://orcid.org/0009-0002-3252-4477"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yeong-Tae Song","raw_affiliation_strings":["Towson University,Dept. of Computer &#x0026; Info. Sc.,Towson,MD,USA"],"affiliations":[{"raw_affiliation_string":"Towson University,Dept. of Computer &#x0026; Info. Sc.,Towson,MD,USA","institution_ids":["https://openalex.org/I4322298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108900549"],"corresponding_institution_ids":["https://openalex.org/I4322298"],"apc_list":null,"apc_paid":null,"fwci":1.4587,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83703741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9977999925613403,"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":0.9977999925613403,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9243999719619751,"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":0.6910192370414734},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5670168995857239},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5119014978408813},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5026001930236816},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.48601800203323364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4689366817474365},{"id":"https://openalex.org/keywords/vital-signs","display_name":"Vital signs","score":0.4411018490791321},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.43679118156433105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4315425455570221},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32790976762771606},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3270423114299774},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.24858015775680542},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19262713193893433},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15935301780700684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6910192370414734},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5670168995857239},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5119014978408813},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5026001930236816},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.48601800203323364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4689366817474365},{"id":"https://openalex.org/C2776890885","wikidata":"https://www.wikidata.org/wiki/Q1067560","display_name":"Vital signs","level":2,"score":0.4411018490791321},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.43679118156433105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4315425455570221},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32790976762771606},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3270423114299774},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.24858015775680542},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19262713193893433},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15935301780700684},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","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:10.1109/imcom60618.2024.10418404","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/imcom60618.2024.10418404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1989164753","https://openalex.org/W2049962488","https://openalex.org/W2794388053","https://openalex.org/W2967569340","https://openalex.org/W4214493122","https://openalex.org/W4221125739","https://openalex.org/W4225308785","https://openalex.org/W4283264067","https://openalex.org/W4285800654","https://openalex.org/W4381798349","https://openalex.org/W4385620388"],"related_works":["https://openalex.org/W2053514191","https://openalex.org/W30340901","https://openalex.org/W1660746341","https://openalex.org/W4205307318","https://openalex.org/W2162926135","https://openalex.org/W3005991535","https://openalex.org/W2087901682","https://openalex.org/W4285102294","https://openalex.org/W3948632","https://openalex.org/W2116507356"],"abstract_inverted_index":{"Heart":[0],"disease":[1,73],"is":[2],"still":[3],"the":[4,12,46,119,134,140,145],"number":[5],"one":[6],"leading":[7],"cause":[8],"of":[9,85,112,121,136],"death":[10],"in":[11,39],"United":[13],"States.":[14],"Unfortunately,":[15],"early":[16],"detection":[17],"and":[18,28,41,51,55,74,87,101,133],"prediction":[19,52],"are":[20],"often":[21],"hindered":[22],"by":[23],"factors":[24],"such":[25,129],"as":[26,130,150],"cost":[27],"time":[29],"constraint,":[30],"limiting":[31],"accessibility":[32],"for":[33,71,147],"many":[34],"individuals.":[35],"However,":[36],"recent":[37],"advancements":[38],"Information":[40],"Communication":[42],"Technology":[43],"(ICT)":[44],"offer":[45],"potential":[47],"to":[48,66,69],"make":[49],"diagnosis":[50],"more":[53],"affordable":[54],"accessible.":[56],"In":[57],"this":[58,106],"paper,":[59],"we":[60,108,117],"introduce":[61],"a":[62,93,110,122,151],"novel":[63],"framework":[64,143],"designed":[65],"empower":[67],"users":[68],"self-monitor/diagnosis":[70],"heart":[72],"predict":[75],"its":[76],"onset.":[77],"Our":[78],"approach":[79],"leverages":[80],"an":[81],"AI":[82],"model":[83],"capable":[84],"diagnosing":[86],"forecasting":[88],"cardiovascular":[89],"diseases":[90],"based":[91],"on":[92],"patient's":[94],"vital":[95],"signs,":[96],"lifestyle":[97],"data,":[98],"observed":[99],"symptoms,":[100],"medical":[102],"history.":[103],"To":[104],"train":[105],"model,":[107],"harnessed":[109],"range":[111],"machine":[113],"learning":[114],"algorithms.":[115],"Additionally,":[116],"integrated":[118],"concept":[120],"digital":[123,148],"twin":[124,149],"which":[125],"combines":[126],"key":[127],"features":[128],"diagnosis,":[131],"prediction,":[132],"delivery":[135],"appropriate":[137],"guidance":[138],"regarding":[139],"disease.":[141],"This":[142],"builds":[144],"foundation":[146],"service":[152],"(DTaaS).":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
