乐胖代购免代理版

{"id":"https://openalex.org/W3141365450","doi":"https://doi.org/10.3233/idt-200052","title":"An intelligent unsupervised technique for fraud detection in health care systems","display_name":"An intelligent unsupervised technique for fraud detection in health care systems","publication_year":2021,"publication_date":"2021-03-24","ids":{"openalex":"https://openalex.org/W3141365450","doi":"https://doi.org/10.3233/idt-200052","mag":"3141365450"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-200052","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"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/A5110753390","display_name":"Kanksha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"None Kanksha","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016990427","display_name":"Aman Bhaskar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aman Bhaskar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021854674","display_name":"Sagar Dhanraj Pande","orcid":"https://orcid.org/0000-0003-4506-6997"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sagar Pande","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109434750","display_name":"Rahul Malik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahul Malik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005282924","display_name":"Aditya Khamparia","orcid":"https://orcid.org/0000-0001-9019-8230"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aditya Khamparia","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.141,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.999972,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":"15","issue":"1","first_page":"127","last_page":"139"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9988,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9988,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9795,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9159,"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":[],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6764427},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6727207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.52247894},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4930651},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.48318163},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47939205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45218864},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.43668586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43648437},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.32571512},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23696342},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0952948},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0950768},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08798885},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-200052","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.73,"display_name":"Peace, justice, and strong institutions"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":25,"referenced_works":["https://openalex.org/W1969138018","https://openalex.org/W2122535208","https://openalex.org/W2131967083","https://openalex.org/W2340087666","https://openalex.org/W2395870396","https://openalex.org/W2533835508","https://openalex.org/W2756359217","https://openalex.org/W2782767340","https://openalex.org/W2805458001","https://openalex.org/W2902240328","https://openalex.org/W2928389720","https://openalex.org/W2948149587","https://openalex.org/W2970146637","https://openalex.org/W2980845128","https://openalex.org/W2981218876","https://openalex.org/W2998319147","https://openalex.org/W2998957378","https://openalex.org/W2999211502","https://openalex.org/W2999646326","https://openalex.org/W3000561819","https://openalex.org/W3004507905","https://openalex.org/W3004886588","https://openalex.org/W3006945411","https://openalex.org/W3016998144","https://openalex.org/W3091163231"],"related_works":["https://openalex.org/W4386462264","https://openalex.org/W4285260836","https://openalex.org/W4285233543","https://openalex.org/W3210442155","https://openalex.org/W3209574120","https://openalex.org/W3208099188","https://openalex.org/W3196155444","https://openalex.org/W3123344745","https://openalex.org/W3046775127","https://openalex.org/W2899055016"],"abstract_inverted_index":{"Healthcare":[0],"is":[1,19,26,85,111],"an":[2,48,64,114],"essential":[3],"part":[4],"of":[5,37,50,81,95],"people\u2019s":[6],"lives,":[7],"particularly":[8],"for":[9],"the":[10,35,93],"elderly":[11],"population,":[12],"and":[13],"also":[14],"should":[15],"be":[16,40],"economical.":[17],"Medicare":[18,59],"one":[20],"particular":[21],"healthcare":[22,32],"plan.":[23],"Claims":[24],"fraud":[25,43,75],"a":[27],"significant":[28],"contributor":[29],"to":[30,57,87,105],"increased":[31],"expenses,":[33],"though":[34],"effect":[36],"it":[38],"could":[39],"lessened":[41],"by":[42],"detection.":[44],"In":[45],"this":[46,82],"paper,":[47],"analysis":[49],"various":[51],"machine":[52,66],"learning":[53,67],"techniques":[54],"was":[55],"done":[56],"identify":[58],"fraud.":[60],"The":[61,79],"isolated":[62,115],"forest":[63,116],"unsupervised":[65],"algorithm":[68],"which":[69],"improves":[70],"overall":[71],"performance":[72],"while":[73],"detecting":[74],"based":[76],"upon":[77],"outliers.":[78],"goal":[80],"specific":[83],"paper":[84],"generally":[86],"show":[88],"probable":[89],"dishonest":[90],"providers":[91],"on":[92],"ground":[94],"their":[96],"allegations.":[97],"Obtained":[98],"results":[99],"were":[100],"found":[101],"more":[102],"promising":[103],"compared":[104],"existing":[106],"techniques.":[107],"Around":[108],"98.76%":[109],"accuracy":[110],"obtained":[112],"using":[113],"algorithm.":[117]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3141365450","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2024-12-31T06:57:35.433836","created_date":"2021-04-13"}