{"id":"https://openalex.org/W4360585269","doi":"https://doi.org/10.1109/ic3i56241.2022.10072978","title":"Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues","display_name":"Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4360585269","doi":"https://doi.org/10.1109/ic3i56241.2022.10072978"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i56241.2022.10072978","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3i56241.2022.10072978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5104047759","display_name":"Simranjit Kaur","orcid":"https://orcid.org/0000-0002-8642-1046"},"institutions":[{"id":"https://openalex.org/I3129196102","display_name":"Desh Bhagat University","ror":"https://ror.org/007n0ss86","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129196102"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Simranjit Kaur","raw_affiliation_strings":["Desh Bhagat University,Mandi Gobindgarh,Punjab","Desh Bhagat University, Mandi Gobindgarh, Punjab"],"affiliations":[{"raw_affiliation_string":"Desh Bhagat University,Mandi Gobindgarh,Punjab","institution_ids":["https://openalex.org/I3129196102"]},{"raw_affiliation_string":"Desh Bhagat University, Mandi Gobindgarh, Punjab","institution_ids":["https://openalex.org/I3129196102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004245973","display_name":"Khushboo Bansal","orcid":"https://orcid.org/0009-0006-8983-6323"},"institutions":[{"id":"https://openalex.org/I3129196102","display_name":"Desh Bhagat University","ror":"https://ror.org/007n0ss86","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129196102"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Khushboo Bansal","raw_affiliation_strings":["Desh Bhagat University,Mandi Gobindgarh,Punjab","Desh Bhagat University, Mandi Gobindgarh, Punjab"],"affiliations":[{"raw_affiliation_string":"Desh Bhagat University,Mandi Gobindgarh,Punjab","institution_ids":["https://openalex.org/I3129196102"]},{"raw_affiliation_string":"Desh Bhagat University, Mandi Gobindgarh, Punjab","institution_ids":["https://openalex.org/I3129196102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101595197","display_name":"Yogesh Kumar","orcid":"https://orcid.org/0000-0002-2800-0235"},"institutions":[{"id":"https://openalex.org/I33586908","display_name":"Pandit Deendayal Petroleum University","ror":"https://ror.org/02nsv5p42","country_code":"IN","type":"education","lineage":["https://openalex.org/I33586908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yogesh Kumar","raw_affiliation_strings":["Pandit Deendayal Energy University,Computer Science Engineering,Gandhinagar,India","Computer Science Engineering, Pandit Deendayal Energy University, Gandhinagar, India"],"affiliations":[{"raw_affiliation_string":"Pandit Deendayal Energy University,Computer Science Engineering,Gandhinagar,India","institution_ids":["https://openalex.org/I33586908"]},{"raw_affiliation_string":"Computer Science Engineering, Pandit Deendayal Energy University, Gandhinagar, India","institution_ids":["https://openalex.org/I33586908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104047759"],"corresponding_institution_ids":["https://openalex.org/I3129196102"],"apc_list":null,"apc_paid":null,"fwci":1.6317,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85291688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10144","display_name":"Blood Pressure and Hypertension Studies","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10144","display_name":"Blood Pressure and Hypertension Studies","score":0.9988999962806702,"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/T12935","display_name":"Healthcare Systems and Public Health","score":0.9434000253677368,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9258000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6700335144996643},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.6025698184967041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5697939395904541},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5444000363349915},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.5022635459899902},{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.47782424092292786},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4560627043247223},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.41242867708206177},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3692726492881775},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.34297287464141846},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.34142059087753296},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.2757660150527954},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.09643575549125671},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.08973696827888489},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08419010043144226}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6700335144996643},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.6025698184967041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5697939395904541},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5444000363349915},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.5022635459899902},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.47782424092292786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4560627043247223},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.41242867708206177},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3692726492881775},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.34297287464141846},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.34142059087753296},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.2757660150527954},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.09643575549125671},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.08973696827888489},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08419010043144226},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i56241.2022.10072978","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3i56241.2022.10072978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1918047071","https://openalex.org/W1964570528","https://openalex.org/W2066600875","https://openalex.org/W2083817839","https://openalex.org/W2083921588","https://openalex.org/W2086271258","https://openalex.org/W2094380707","https://openalex.org/W2116717490","https://openalex.org/W2123936943","https://openalex.org/W2137327222","https://openalex.org/W2169499193","https://openalex.org/W2284033138","https://openalex.org/W2321007701","https://openalex.org/W2332457881","https://openalex.org/W2381413656","https://openalex.org/W2477754002","https://openalex.org/W2579231017","https://openalex.org/W2588815870","https://openalex.org/W2777641772","https://openalex.org/W2802250559","https://openalex.org/W2894670788","https://openalex.org/W2898457169","https://openalex.org/W2900429716","https://openalex.org/W2921504248","https://openalex.org/W2944143279","https://openalex.org/W2953155002","https://openalex.org/W2968235599","https://openalex.org/W2989335918","https://openalex.org/W2993090759","https://openalex.org/W3000514658","https://openalex.org/W3013435687","https://openalex.org/W3033479980","https://openalex.org/W3040176058","https://openalex.org/W3041422176","https://openalex.org/W3045346211","https://openalex.org/W3092538628","https://openalex.org/W3133635963","https://openalex.org/W3138684326","https://openalex.org/W3158376990","https://openalex.org/W3169011232","https://openalex.org/W4205125586","https://openalex.org/W4205623765","https://openalex.org/W4205876405","https://openalex.org/W4206394083","https://openalex.org/W4210455291","https://openalex.org/W4210536607","https://openalex.org/W4211112722","https://openalex.org/W4214876503","https://openalex.org/W4220773055","https://openalex.org/W4221134003","https://openalex.org/W4224302516","https://openalex.org/W6779188571"],"related_works":["https://openalex.org/W2900068172","https://openalex.org/W2238030311","https://openalex.org/W1982842519","https://openalex.org/W2166644286","https://openalex.org/W2590898204","https://openalex.org/W2090248941","https://openalex.org/W2008493941","https://openalex.org/W2087256839","https://openalex.org/W4242805080","https://openalex.org/W2004598647"],"abstract_inverted_index":{"Despite":[0],"improved":[1],"therapies":[2],"and":[3,34,81,96,103,124,132,138,167,173],"decades":[4],"of":[5,18,26,44,65,98,130,141,162,178,186],"research":[6,89,149,166],"over":[7],"the":[8,13,63,92,112,128,139,156,184],"last":[9],"century,":[10],"hypertension":[11,47,66,105,109,191],"remained":[12],"world's":[14],"leading":[15],"avoidable":[16],"cause":[17],"death.":[19],"Machine":[20],"learning":[21,79,83,154],"(ML)":[22,84],"is":[23,71,181],"a":[24,50],"subfield":[25],"artificial":[27,56,74,187],"intelligence":[28,57,75,188],"that":[29,152],"integrates":[30],"computer":[31],"science,":[32],"statistics,":[33],"decision":[35],"theory":[36],"to":[37,61,72,85,101,114,122,158,169,182],"recognize":[38],"complicated":[39],"patterns":[40],"in":[41,53],"vast":[42],"amounts":[43],"data.":[45],"Because":[46],"may":[48],"induce":[49],"rapid":[51],"rise":[52],"blood":[54,134],"pressure,":[55],"approaches":[58,121],"are":[59],"used":[60],"anticipate":[62],"start":[64],"The":[67,176],"study's":[68],"main":[69],"goal":[70],"use":[73],"technologies":[76,100],"like":[77],"deep":[78],"(DL)":[80],"machine":[82,153],"predict":[86,104],"hypertension.":[87],"This":[88],"will":[90],"analyze":[91],"current":[93],"state,":[94],"challenges,":[95],"potential":[97,185],"adopting":[99],"detect":[102],"diseases.":[106],"Thus,":[107],"AI-integrated":[108],"care":[110],"has":[111,150,155],"ability":[113,157],"revolutionize":[115],"clinical":[116,171],"practice":[117,172],"by":[118,192],"introducing":[119],"individualized":[120],"prevention":[123],"treatment,":[125],"such":[126],"as":[127],"establishment":[129],"optimal":[131],"patient-specific":[133],"pressure":[135],"(BP)":[136],"goals,":[137],"development":[140,168],"interventions":[142],"focusing":[143],"on":[144],"modifiable":[145],"risk":[146],"factors.":[147],"Prior":[148],"showed":[151],"improve":[159],"all":[160],"areas":[161],"patient":[163],"care,":[164],"from":[165],"everyday":[170],"global":[174],"health.":[175],"purpose":[177],"this":[179],"paper":[180],"illustrate":[183],"for":[189],"treating":[190],"analyzing":[193],"existing":[194],"evidence.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}