{"id":"https://openalex.org/W2967556162","doi":"https://doi.org/10.1145/3341069.3342980","title":"A Case Study of HealthCare Platform using Big Data Analytics and Machine Learning","display_name":"A Case Study of HealthCare Platform using Big Data Analytics and Machine Learning","publication_year":2019,"publication_date":"2019-06-22","ids":{"openalex":"https://openalex.org/W2967556162","doi":"https://doi.org/10.1145/3341069.3342980","mag":"2967556162"},"language":"en","primary_location":{"id":"doi:10.1145/3341069.3342980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341069.3342980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","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/A5110632186","display_name":"Mohian Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"M. D. Samiul Islam","raw_affiliation_strings":["Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078220957","display_name":"Daizong Liu","orcid":"https://orcid.org/0000-0001-8179-4508"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daizong Liu","raw_affiliation_strings":["Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622679","display_name":"Kewei Wang","orcid":"https://orcid.org/0000-0001-9433-720X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kewei Wang","raw_affiliation_strings":["Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693197","display_name":"Pan Zhou","orcid":"https://orcid.org/0000-0002-8629-4622"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhou","raw_affiliation_strings":["Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054396268","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-0630-0405"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001469325","display_name":"Dapeng Wu","orcid":"https://orcid.org/0000-0003-1755-0183"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dapeng Wu","raw_affiliation_strings":["Electrical & Computer Engineering, University of Florida, USA, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering, University of Florida, USA, Wuhan, China","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9775000214576721,"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":0.9775000214576721,"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/T14484","display_name":"Technology and Data Analysis","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7744413018226624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.653714120388031},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.6461371183395386},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5203513503074646},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4441494047641754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32436707615852356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28153252601623535}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7744413018226624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.653714120388031},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6461371183395386},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5203513503074646},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4441494047641754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32436707615852356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28153252601623535},{"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:10.1145/3341069.3342980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341069.3342980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","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":26,"referenced_works":["https://openalex.org/W1542444938","https://openalex.org/W2110527070","https://openalex.org/W2183966616","https://openalex.org/W2184674722","https://openalex.org/W2192317975","https://openalex.org/W2242026968","https://openalex.org/W2277301924","https://openalex.org/W2310890746","https://openalex.org/W2339258740","https://openalex.org/W2402601207","https://openalex.org/W2530009226","https://openalex.org/W2533962617","https://openalex.org/W2553105971","https://openalex.org/W2581082771","https://openalex.org/W2765095566","https://openalex.org/W2782806949","https://openalex.org/W2783736514","https://openalex.org/W2787506524","https://openalex.org/W2791090129","https://openalex.org/W2794803511","https://openalex.org/W2886611659","https://openalex.org/W2887324239","https://openalex.org/W2963401755","https://openalex.org/W4232325199","https://openalex.org/W4283747865","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3215038878","https://openalex.org/W3095362084"],"abstract_inverted_index":{"The":[0,188],"medical":[1],"services":[2],"in":[3,32,214,226],"Bangladesh":[4],"are":[5,9],"shortage":[6],"nowadays;":[7],"people":[8],"suffering":[10],"from":[11,16,95],"getting":[12],"the":[13,17,20,24,27,42,56,59,67,91,105,130,133,146,149,155,160,166,175,180,183,186,192,198,206,211,218,227,231],"correct":[14],"treatment":[15,72,178],"hospital.":[18],"With":[19,90],"low":[21,28],"proportion":[22],"of":[23,109,127,132,182,197,223,230],"doctors":[25,150],"and":[26,61,66,116,139,148,185],"per":[29],"capita":[30],"salary":[31],"Bangladesh,":[33,215],"patients":[34,60,68,147],"need":[35],"to":[36,40,49,158,164,173,221],"spend":[37],"more":[38],"money":[39],"get":[41,174],"appropriate":[43],"treatments.":[44],"Therefore,":[45],"it":[46],"is":[47,100,122],"necessary":[48],"apply":[50],"modern":[51],"information":[52],"technologies":[53],"by":[54,84,129],"which":[55,145,216],"scaffold":[57],"between":[58],"specialists":[62],"can":[63,69,79,151],"be":[64],"reduced,":[65],"take":[70],"proper":[71,176],"at":[73],"a":[74,101,125,141],"lower":[75,113,117,209],"cost.":[76],"Fortunately,":[77],"we":[78],"solve":[80],"this":[81],"critical":[82],"problem":[83],"utilizing":[85],"interaction":[86],"among":[87],"electrical":[88],"devices.":[89],"big":[92],"data":[93,106,163],"collected":[94],"these":[96],"devices,":[97],"machine":[98,170,202],"learning":[99,171,203],"powerful":[102],"tool":[103],"for":[104],"analytics":[107],"because":[108],"its":[110],"high":[111,193],"accuracy,":[112],"computational":[114],"costs,":[115],"power":[118],"consumption.":[119],"This":[120],"research":[121],"based":[123],"on":[124],"case":[126],"study":[128],"incorporation":[131],"database,":[134],"mobile":[135],"application,":[136],"web":[137],"application":[138],"develops":[140],"novel":[142],"platform":[143,156,225],"through":[144],"interact.":[152],"In":[153],"addition,":[154],"helps":[157],"store":[159],"patients'":[161],"health":[162],"make":[165],"final":[167],"prediction":[168],"using":[169,201],"methods":[172],"healthcare":[177],"with":[179,205],"help":[181],"machines":[184],"doctors.":[187],"experiment":[189],"result":[190],"shows":[191],"accuracy":[194],"over":[195],"95%":[196],"disease":[199],"detection":[200],"methods,":[204],"cost":[207],"90%":[208],"than":[210],"local":[212],"hospital":[213],"provides":[217],"strong":[219],"support":[220],"implement":[222],"our":[224],"remote":[228],"area":[229],"country.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}