{"id":"https://openalex.org/W2584479569","doi":"https://doi.org/10.1109/bigdata.2016.7841018","title":"A novel big-data processing framwork for healthcare applications: Big-data-healthcare-in-a-box","display_name":"A novel big-data processing framwork for healthcare applications: Big-data-healthcare-in-a-box","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584479569","doi":"https://doi.org/10.1109/bigdata.2016.7841018","mag":"2584479569"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7841018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","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/A5029426102","display_name":"Fuad Rahman","orcid":"https://orcid.org/0000-0002-8670-7124"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fuad Rahman","raw_affiliation_strings":["Medicine and BioMedical Engineering, Univ. of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Medicine and BioMedical Engineering, Univ. of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070730048","display_name":"Marvin J. Slepian","orcid":"https://orcid.org/0000-0002-7864-6691"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marvin Slepian","raw_affiliation_strings":["Medicine and BioMedical Engineering, Univ. of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Medicine and BioMedical Engineering, Univ. of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045975163","display_name":"Ari Mitra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ari Mitra","raw_affiliation_strings":["Lyticas Technologies Ltd., United Kingdom"],"affiliations":[{"raw_affiliation_string":"Lyticas Technologies Ltd., United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029426102"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":2.8166,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91696605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"50","issue":null,"first_page":"3548","last_page":"3555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9883999824523926,"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/T14280","display_name":"Big Data Technologies and Applications","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.9304584264755249},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.7847299575805664},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.7211860418319702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6725468039512634},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.53960782289505},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5356305241584778},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.47464022040367126},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4187674820423126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2573850154876709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17936190962791443}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.9304584264755249},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.7847299575805664},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.7211860418319702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725468039512634},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.53960782289505},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5356305241584778},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.47464022040367126},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4187674820423126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2573850154876709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17936190962791443},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"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/bigdata.2016.7841018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310160","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W229682254","https://openalex.org/W1984111244","https://openalex.org/W2036356299","https://openalex.org/W2344032009","https://openalex.org/W6608939556"],"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/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417","https://openalex.org/W3023919550"],"abstract_inverted_index":{"Herein":[0],"we":[1],"present":[2,60],"a":[3,61,66,82],"novel":[4,62],"big-data":[5,67],"framework":[6,68],"for":[7,15],"healthcare":[8,38,75],"applications.":[9],"Healthcare":[10],"data":[11],"is":[12,56],"well":[13],"suited":[14],"bigdata":[16],"processing":[17],"and":[18,25],"analytics":[19],"because":[20],"of":[21,27,30,54,64],"the":[22],"variety,":[23],"veracity":[24],"volume":[26],"these":[28,52],"types":[29,53],"data.":[31],"In":[32],"recent":[33],"times,":[34],"many":[35],"areas":[36],"within":[37],"have":[39],"been":[40],"identified":[41],"that":[42,69],"can":[43,70],"directly":[44],"benefit":[45],"from":[46],"such":[47],"treatment.":[48],"However,":[49],"setting":[50],"up":[51],"architecture":[55],"not":[57],"trivial.":[58],"We":[59],"approach":[63],"building":[65],"be":[71],"adapted":[72],"to":[73],"various":[74],"applications":[76],"with":[77],"relative":[78],"use,":[79],"making":[80],"this":[81],"one-stop":[83],"\u201cBig-Data-Healthcare-in-a-Box\u201d.":[84]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
