{"id":"https://openalex.org/W2510711472","doi":"https://doi.org/10.1109/icufn.2016.7536935","title":"A big data approach for proactive healthcare monitoring of chronic patients","display_name":"A big data approach for proactive healthcare monitoring of chronic patients","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2510711472","doi":"https://doi.org/10.1109/icufn.2016.7536935","mag":"2510711472"},"language":"en","primary_location":{"id":"doi:10.1109/icufn.2016.7536935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2016.7536935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080102601","display_name":"Atif Naseer","orcid":"https://orcid.org/0000-0001-5444-9637"},"institutions":[{"id":"https://openalex.org/I199693650","display_name":"Umm al-Qura University","ror":"https://ror.org/01xjqrm90","country_code":"SA","type":"education","lineage":["https://openalex.org/I199693650"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Atif Naseer","raw_affiliation_strings":["Science and Technology Unit, Umm al Qura University, Makkah, Kingdom of Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology Unit, Umm al Qura University, Makkah, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I199693650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013560476","display_name":"Basem Y. Alkazemi","orcid":"https://orcid.org/0000-0003-1260-6811"},"institutions":[{"id":"https://openalex.org/I199693650","display_name":"Umm al-Qura University","ror":"https://ror.org/01xjqrm90","country_code":"SA","type":"education","lineage":["https://openalex.org/I199693650"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Basem Y. Alkazemi","raw_affiliation_strings":["College of Computer and Information Systems, Umm al Qura University, Makkah, Kingdom of Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Systems, Umm al Qura University, Makkah, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I199693650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033917260","display_name":"Ehsan Ullah Waraich","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ehsan Ullah Waraich","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7353,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"20","issue":null,"first_page":"943","last_page":"945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9871000051498413,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9871000051498413,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9832000136375427,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9528999924659729,"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/big-data","display_name":"Big data","score":0.6690987944602966},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5785158276557922},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5508373975753784},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5217243432998657},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.4531734585762024},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4370741546154022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38475388288497925},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.33981096744537354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18118679523468018},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13290390372276306}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6690987944602966},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5785158276557922},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5508373975753784},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5217243432998657},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.4531734585762024},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4370741546154022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38475388288497925},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.33981096744537354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18118679523468018},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13290390372276306},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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":4,"locations":[{"id":"doi:10.1109/icufn.2016.7536935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2016.7536935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/b8534997-b93b-4be0-99d3-24a2f0d1c0ce","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/b8534997-b93b-4be0-99d3-24a2f0d1c0ce","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Naseer, A, Alkazemi, B Y & Warriach, E U 2016, A big data approach for proactive healthcare monitoring of chronic patients. in ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks., 7536935, IEEE Computer Society, pp. 943-945, 8th International Conference on Ubiquitous and Future Networks (ICUFN 2016), Vienna, Austria, 5/07/16. https://doi.org/10.1109/ICUFN.2016.7536935","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.tue.nl:publications/b8534997-b93b-4be0-99d3-24a2f0d1c0ce","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=84983354615&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Naseer, A, Alkazemi, B Y & Warriach, E U 2016, A big data approach for proactive healthcare monitoring of chronic patients. in ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks., 7536935, IEEE Computer Society, pp. 943-945, 8th International Conference on Ubiquitous and Future Networks (ICUFN 2016), Vienna, Austria, 5/07/16. https://doi.org/10.1109/ICUFN.2016.7536935","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:tue:oai:pure.tue.nl:publications/b8534997-b93b-4be0-99d3-24a2f0d1c0ce","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/b8534997-b93b-4be0-99d3-24a2f0d1c0ce","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks, 2016-August, 943 - 945","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1978294709","https://openalex.org/W2018571028","https://openalex.org/W2041984802","https://openalex.org/W2052331263","https://openalex.org/W2052647841","https://openalex.org/W2326035627","https://openalex.org/W4247494991","https://openalex.org/W6701261089"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W3215038878","https://openalex.org/W4375840519"],"abstract_inverted_index":{"With":[0],"the":[1,50,54,64,94,112,148,170,219,223,233,263,281,317,349,357,367,384,392,402],"advancement":[2,171],"of":[3,25,45,138,144,151,172,194,214,307,313,320,359,361,369,394,396,404],"human":[4,173],"life,":[5,174],"there":[6,175],"is":[7,19,70,176,188,239],"big":[8,73,156,177,242,325],"increase":[9,18,178,187,366,401],"in":[10,14,136,179,183,305,340,375],"chronic":[11,180],"diseases":[12,99,181,268],"especially":[13,182],"heart":[15,98,102,106,184,267,271,275],"diseases.":[16,185],"This":[17,42,85,127,158,186,211,254,296,327,353,388],"due":[20,189],"to":[21,52,62,80,92,122,134,163,190,221,231,249,261,291,303,332,347,382],"environmental":[22,191],"pollution,":[23,192],"lack":[24,193],"exercise,":[26,195],"eating":[27,196],"habits":[28,197],"and":[29,58,119,124,155,198,227,288,293,324,343,371,378,406],"closed":[30,199],"environments.":[31,200],"We":[32,201],"propose":[33,202],"a":[34,71,89,132,203,240,258,301],"proactive":[35,90,165,204,259,334],"health":[36,56,114,140,205,225,283,309,342,351,377,386],"monitoring":[37,206],"system":[38,43,61,69,86,109,128,159,207,212,230,238,255,278,297,328],"for":[39,208],"cardiac":[40,209],"patients.":[41,210],"consists":[44,213],"electronic":[46,117,215,286],"bands":[47,216],"wear":[48,217],"by":[49,218],"patients":[51,95,123,135,162,220,264,292,304,331,362,397],"collect":[53,222],"real-time":[55,224],"status":[57,226],"an":[59,228],"e-health":[60,68,145,229,237,314],"process":[63,232],"collected":[65,234],"data.":[66,157,235,326],"The":[67,108,142,236,277,311],"complete":[72,241],"data":[74,243],"framework":[75,143,244,312],"that":[76,245],"will":[77,87,110,129,146,160,246,256,279,298,315,329,355,390],"be":[78,247],"develop":[79,248],"solve":[81,250],"major":[82,251],"healthcare":[83,154,252,323,372,407],"problems.":[84,253],"provide":[88,131,257,300],"measure":[91,166,260,335],"all":[93,262],"suffering":[96,265],"from":[97,116,266,285],"like":[100,269],"Ischemic":[101,270],"disease":[103,272],"or":[104,273],"Hypertensive":[105,274],"disease.":[107,276],"monitor":[111,280,348,383],"patient":[113,282,350,385],"continuously":[115,284],"band":[118,287],"generates":[120,289],"alerts":[121,290],"doctor":[125,294],"accordingly.":[126,295],"also":[130,299,344,379],"guidance":[133,302],"case":[137,306],"abnormal":[139,308,338],"readings.":[141,310],"follow":[147,316],"best":[149,318],"practices":[150,319],"software":[152,321],"engineering,":[153,322],"help":[161,330,345,380],"take":[164,333],"against":[167,336],"any":[168,337],"with":[169],"behavior":[339,374],"their":[341,376],"doctors":[346,370,381,405],"continuously.":[352,387],"development":[354,389],"enhance":[356,391],"quality":[358,393],"life":[360,395],"as":[363,365,398,400],"well":[364,399],"performance":[368,403],"providers.abnormal":[373],"providers.":[408]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
