乐胖代购免代理版

{"id":"https://openalex.org/W2801165387","doi":"https://doi.org/10.4018/ijghpc.2018070101","title":"An Investigation Into the Efficacy of Deep Learning Tools for Big Data Analysis in Health Care","display_name":"An Investigation Into the Efficacy of Deep Learning Tools for Big Data Analysis in Health Care","publication_year":2018,"publication_date":"2018-05-03","ids":{"openalex":"https://openalex.org/W2801165387","doi":"https://doi.org/10.4018/ijghpc.2018070101","mag":"2801165387"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijghpc.2018070101","pdf_url":null,"source":{"id":"https://openalex.org/S43307632","display_name":"International Journal of Grid and High Performance Computing","issn_l":"1938-0259","issn":["1938-0259","1938-0267"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5035529348","display_name":"Rojalina Priyadarshini","orcid":"https://orcid.org/0000-0002-5481-5251"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rojalina Priyadarshini","raw_affiliation_strings":["School of Computer Science & Engineering, KIIT University, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, KIIT University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008933435","display_name":"Rabindra K. Barik","orcid":"https://orcid.org/0000-0003-3086-3782"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rabindra K. Barik","raw_affiliation_strings":["School of Computer Application, KIIT University, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Application, KIIT University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033396638","display_name":"Chhabi Rani Panigrahi","orcid":"https://orcid.org/0000-0002-4015-4587"},"institutions":[{"id":"https://openalex.org/I99552915","display_name":"University of Rajasthan","ror":"https://ror.org/05arfhc56","country_code":"IN","type":"education","lineage":["https://openalex.org/I99552915"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chhabi Panigrahi","raw_affiliation_strings":["University of Rajastan, Jaipur, India"],"affiliations":[{"raw_affiliation_string":"University of Rajastan, Jaipur, India","institution_ids":["https://openalex.org/I99552915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033701513","display_name":"Harishchandra Dubey","orcid":"https://orcid.org/0000-0003-0476-3884"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harishchandra Dubey","raw_affiliation_strings":["The University of Texas at Dallas, Dallas, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas, Dallas, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023910909","display_name":"Brojo Kishore Mishra","orcid":"https://orcid.org/0000-0002-7836-052X"},"institutions":[{"id":"https://openalex.org/I3129960170","display_name":"Dr. C. V. Raman University","ror":"https://ror.org/00mc6bw20","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129960170"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brojo Kishore Mishra","raw_affiliation_strings":["Department of Information Technology, C. V. Raman College of Engineering, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, C. V. Raman College of Engineering, Bhubaneswar, India","institution_ids":["https://openalex.org/I3129960170"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.038,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.999762,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":"10","issue":"3","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9966,"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":0.9966,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9935,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9886,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/cohesion","display_name":"Cohesion (chemistry)","score":0.53237814}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.76574904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7525328},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6454624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5431449},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.53237814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4889361},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.47474295},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.45496047},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.45482567},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45358},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37594697},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijghpc.2018070101","pdf_url":null,"source":{"id":"https://openalex.org/S43307632","display_name":"International Journal of Grid and High Performance Computing","issn_l":"1938-0259","issn":["1938-0259","1938-0267"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":25,"referenced_works":["https://openalex.org/W1667652561","https://openalex.org/W1686810756","https://openalex.org/W1872489089","https://openalex.org/W1984002948","https://openalex.org/W1984020445","https://openalex.org/W2072055576","https://openalex.org/W2076063813","https://openalex.org/W2094756095","https://openalex.org/W2150341604","https://openalex.org/W2155893237","https://openalex.org/W2158899491","https://openalex.org/W2163922914","https://openalex.org/W2186615578","https://openalex.org/W2261527505","https://openalex.org/W2265127172","https://openalex.org/W2306570595","https://openalex.org/W2311607323","https://openalex.org/W2323435167","https://openalex.org/W2528018097","https://openalex.org/W2561981131","https://openalex.org/W2585680949","https://openalex.org/W2919115771","https://openalex.org/W2952230511","https://openalex.org/W4205947740","https://openalex.org/W4255990892"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4255224757","https://openalex.org/W4247566972","https://openalex.org/W4233347783","https://openalex.org/W4206777497","https://openalex.org/W3090563135","https://openalex.org/W2960264696","https://openalex.org/W2910064364","https://openalex.org/W2499527417","https://openalex.org/W2497432351"],"abstract_inverted_index":{"This":[0,134],"article":[1,135],"describes":[2],"how":[3],"machine":[4],"learning":[5,86],"(ML)":[6],"algorithms":[7,57],"are":[8,50,72,96,146],"very":[9],"useful":[10],"for":[11,129],"analysis":[12],"of":[13,21,47,81,83,90,140,151,161],"data":[14,109,128],"and":[15,45,64,74,104,125,132,143,156],"finding":[16],"some":[17],"meaningful":[18],"information":[19],"out":[20],"them,":[22],"which":[23,95,145],"could":[24],"be":[25],"used":[26,75,98,147],"in":[27,42,115,148,153,158],"various":[28,154],"other":[29],"applications.":[30,163],"In":[31],"the":[32,43,91,101,127,138,159],"last":[33],"few":[34],"years,":[35],"an":[36],"explosive":[37],"growth":[38],"has":[39],"been":[40],"seen":[41],"dimension":[44],"structure":[46,103],"data.":[48,67,84],"There":[49],"several":[51],"difficulties":[52],"faced":[53],"by":[54,111],"conventional":[55],"ML":[56,70,93],"while":[58],"dealing":[59],"with":[60,78,118],"such":[61],"highly":[62],"voluminous":[63],"unstructured":[65],"big":[66],"The":[68],"modern":[69,92],"tools":[71,94,142],"designed":[73],"to":[76,99,122],"deal":[77],"all":[79],"sorts":[80],"complexities":[82],"Deep":[85],"(DL)":[87],"is":[88],"one":[89],"commonly":[97],"find":[100],"hidden":[102],"cohesion":[105],"among":[106],"these":[107],"large":[108],"sets":[110],"giving":[112],"proper":[113],"training":[114],"parallel":[116],"platforms":[117],"intelligent":[119],"optimization":[120],"techniques":[121],"further":[123],"analyze":[124],"interpret":[126],"future":[130],"prediction":[131],"classification.":[133],"focuses":[136],"on":[137],"use":[139],"DL":[141],"software":[144],"past":[149],"couple":[150],"years":[152],"areas":[155],"especially":[157],"area":[160],"healthcare":[162]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2801165387","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2025-01-08T09:56:16.774031","created_date":"2018-05-17"}