{"id":"https://openalex.org/W4386246840","doi":"https://doi.org/10.1109/icit58056.2023.10226098","title":"Decision Support System in Healthcare for Predicting Blood Pressure Disorders","display_name":"Decision Support System in Healthcare for Predicting Blood Pressure Disorders","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4386246840","doi":"https://doi.org/10.1109/icit58056.2023.10226098"},"language":"en","primary_location":{"id":"doi:10.1109/icit58056.2023.10226098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit58056.2023.10226098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Technology (ICIT)","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/A5092814950","display_name":"Marwa Mustafa Owess","orcid":"https://orcid.org/0009-0000-6389-9517"},"institutions":[{"id":"https://openalex.org/I53620714","display_name":"Arab American University","ror":"https://ror.org/04jmsq731","country_code":"PS","type":"education","lineage":["https://openalex.org/I53620714"]}],"countries":["PS"],"is_corresponding":true,"raw_author_name":"Marwa Mustafa Owess","raw_affiliation_strings":["Engineering, and Technology Sciences Arab American University,Department of Natural,Ramallah,Palestine,P600"],"affiliations":[{"raw_affiliation_string":"Engineering, and Technology Sciences Arab American University,Department of Natural,Ramallah,Palestine,P600","institution_ids":["https://openalex.org/I53620714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082983813","display_name":"Amani Yousef Owda","orcid":"https://orcid.org/0000-0002-6104-9508"},"institutions":[{"id":"https://openalex.org/I53620714","display_name":"Arab American University","ror":"https://ror.org/04jmsq731","country_code":"PS","type":"education","lineage":["https://openalex.org/I53620714"]}],"countries":["PS"],"is_corresponding":false,"raw_author_name":"Amani Yousef Owda","raw_affiliation_strings":["Engineering, and Technology Sciences Arab American University,Department of Natural,Ramallah,Palestine,P600"],"affiliations":[{"raw_affiliation_string":"Engineering, and Technology Sciences Arab American University,Department of Natural,Ramallah,Palestine,P600","institution_ids":["https://openalex.org/I53620714"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024812409","display_name":"Majdi Owda","orcid":"https://orcid.org/0000-0002-7393-2381"},"institutions":[{"id":"https://openalex.org/I53620714","display_name":"Arab American University","ror":"https://ror.org/04jmsq731","country_code":"PS","type":"education","lineage":["https://openalex.org/I53620714"]}],"countries":["PS"],"is_corresponding":false,"raw_author_name":"Majdi Owda","raw_affiliation_strings":["Arab American University, UNESCO Chair for Data Science,Faculty of Data Science,Ramallah,Palestine,P600"],"affiliations":[{"raw_affiliation_string":"Arab American University, UNESCO Chair for Data Science,Faculty of Data Science,Ramallah,Palestine,P600","institution_ids":["https://openalex.org/I53620714"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092814950"],"corresponding_institution_ids":["https://openalex.org/I53620714"],"apc_list":null,"apc_paid":null,"fwci":1.8762,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89042295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9904999732971191,"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":0.9904999732971191,"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/T10144","display_name":"Blood Pressure and Hypertension Studies","score":0.9480999708175659,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.7995553016662598},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6485661268234253},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5395495295524597},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4921850264072418},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"Body mass index","score":0.4785621464252472},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.46946656703948975},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4686260521411896},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4587675631046295},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.42511457204818726},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.4040352404117584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30881258845329285},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.23774805665016174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.185878187417984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18348315358161926},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.15281438827514648}],"concepts":[{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.7995553016662598},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6485661268234253},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5395495295524597},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4921850264072418},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.4785621464252472},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46946656703948975},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4686260521411896},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4587675631046295},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.42511457204818726},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.4040352404117584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30881258845329285},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.23774805665016174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.185878187417984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18348315358161926},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.15281438827514648},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit58056.2023.10226098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit58056.2023.10226098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6000000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1500726896","https://openalex.org/W1531962509","https://openalex.org/W1656898673","https://openalex.org/W1997647407","https://openalex.org/W2023603983","https://openalex.org/W2046015561","https://openalex.org/W2050498955","https://openalex.org/W2053481403","https://openalex.org/W2064174528","https://openalex.org/W2078294053","https://openalex.org/W2083817839","https://openalex.org/W2098044946","https://openalex.org/W2153767046","https://openalex.org/W2259202813","https://openalex.org/W2295598076","https://openalex.org/W2371638596","https://openalex.org/W2490300818","https://openalex.org/W2521504039","https://openalex.org/W2580438754","https://openalex.org/W2588815870","https://openalex.org/W2604922364","https://openalex.org/W2754799147","https://openalex.org/W2783498497","https://openalex.org/W2807954545","https://openalex.org/W2887924068","https://openalex.org/W2906484232","https://openalex.org/W2907417525","https://openalex.org/W2911681169","https://openalex.org/W2916232050","https://openalex.org/W2942137712","https://openalex.org/W2986446268","https://openalex.org/W3004612364","https://openalex.org/W3025156093","https://openalex.org/W3092248103","https://openalex.org/W3171925877","https://openalex.org/W4234306616","https://openalex.org/W6623737539","https://openalex.org/W6692759379","https://openalex.org/W6727156235","https://openalex.org/W6758972637"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W3171520305","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4313289487","https://openalex.org/W4321636153","https://openalex.org/W787402332"],"abstract_inverted_index":{"Blood":[0],"pressure":[1,110,115,130,179],"problems":[2,111],"including":[3,112],"hypertension":[4,41,163],"and":[5,65,116,148,181,214],"hypotension":[6],"are":[7,173],"considered":[8,49],"common":[9,20],"among":[10,21],"the":[11,37,159,183,221,224],"elderly":[12],"population,":[13],"especially":[14],"hypertension.":[15],"Recently":[16],"it":[17,46,93],"started":[18],"being":[19],"younger":[22],"adults":[23],"due":[24],"to":[25,29,96,102,175,188],"many":[26,70],"factors":[27],"related":[28],"unhealthy":[30],"lifestyles,":[31],"stress,":[32],"or":[33,52,87,164,186,190],"genetic":[34],"factors.":[35],"Besides":[36],"fact":[38],"of":[39,55,78,108,158,162,242],"considering":[40],"as":[42,61,137],"a":[43,50,98,123,167,230,235],"chronic":[44,66],"disease,":[45],"is":[47,94,200],"also":[48],"primary":[51],"contributing":[53],"cause":[54],"complicated":[56],"risky":[57],"health":[58,193],"issues":[59],"such":[60,136],"strokes,":[62],"heart":[63,146],"diseases,":[64],"kidney":[67],"failure.":[68],"In":[69],"cases,":[71],"hypertensive":[72],"patients":[73],"may":[74],"not":[75],"be":[76],"aware":[77],"their":[79,177],"problem":[80],"because":[81],"they":[82],"don't":[83],"experience":[84],"any":[85],"symptoms":[86],"warning":[88,157],"signs.":[89],"For":[90],"this":[91,192],"reason,":[92],"essential":[95],"build":[97],"decision":[99,124,152,197],"support":[100,125,198],"system":[101],"identify":[103],"individuals":[104],"at":[105],"high":[106],"risk":[107,161,172],"blood":[109,114,118,129,178],"raised":[113],"low":[117],"pressure.":[119],"This":[120],"paper":[121],"proposes":[122],"model":[126,153,199,222],"for":[127],"predicting":[128],"disorders":[131],"by":[132],"using":[133,203,229],"input":[134],"variables":[135],"sex,":[138],"age,":[139],"body":[140],"mass":[141],"index":[142],"(BMI),":[143],"cholesterol":[144],"level,":[145],"rate,":[147],"glucose":[149],"level.":[150],"The":[151,195,216],"helps":[154],"in":[155],"early":[156],"potential":[160,171],"hypotension.":[165],"As":[166],"result,":[168],"people":[169],"under":[170],"advised":[174],"measure":[176],"regularly":[180],"take":[182],"needed":[184],"precautions":[185],"medications":[187],"avoid":[189],"control":[191],"issue.":[194],"proposed":[196],"based":[201],"on":[202],"supervised":[204],"machine":[205],"learning":[206],"classification":[207],"algorithms,":[208],"mainly":[209],"Random":[210,231],"Forest,":[211],"Decision":[212],"Tree,":[213],"XGBoost.":[215],"experimental":[217],"results":[218],"show":[219],"that":[220],"achieved":[223],"best":[225],"performance":[226],"when":[227],"implemented":[228],"Forest":[232],"classifier":[233],"with":[234,239],"10-fold":[236],"cross-validation":[237],"method,":[238],"an":[240],"accuracy":[241],"85.81%.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}