{"id":"https://openalex.org/W3172488397","doi":"https://doi.org/10.1145/3460620.3460738","title":"Assessment of Machine Learning Security: The Case of Healthcare Data","display_name":"Assessment of Machine Learning Security: The Case of Healthcare Data","publication_year":2021,"publication_date":"2021-04-05","ids":{"openalex":"https://openalex.org/W3172488397","doi":"https://doi.org/10.1145/3460620.3460738","mag":"3172488397"},"language":"en","primary_location":{"id":"doi:10.1145/3460620.3460738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460620.3460738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Data Science, E-learning and Information Systems 2021","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/A5034726582","display_name":"Anood Manasrah","orcid":null},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Anood Manasrah","raw_affiliation_strings":["Princess Sumaya University for Technology, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princess Sumaya University for Technology, Jordan","institution_ids":["https://openalex.org/I158749337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005832414","display_name":"Aisha Alkayem","orcid":null},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Aisha Alkayem","raw_affiliation_strings":["Princess Sumaya University for Technology, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princess Sumaya University for Technology, Jordan","institution_ids":["https://openalex.org/I158749337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080846698","display_name":"Malik Qasaimeh","orcid":"https://orcid.org/0000-0003-1303-4501"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Malik Qasaimeh","raw_affiliation_strings":["Jordan University of Science and Technology, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058178293","display_name":"Samer Nofal","orcid":"https://orcid.org/0000-0002-0216-934X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samer Nofal","raw_affiliation_strings":["GUJ, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GUJ, Jordan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1465,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36217577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9922000169754028,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9922000169754028,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9751999974250793,"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/health-care","display_name":"Health care","score":0.6501942276954651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6495954990386963},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.5992913842201233},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5301892161369324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47924306988716125},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.4646415710449219},{"id":"https://openalex.org/keywords/information-security","display_name":"Information security","score":0.4589582085609436},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4486992061138153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4466995298862457},{"id":"https://openalex.org/keywords/data-security","display_name":"Data security","score":0.43628615140914917},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42296475172042847},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.39111045002937317},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.2018657922744751},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15243852138519287}],"concepts":[{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6501942276954651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495954990386963},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.5992913842201233},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5301892161369324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47924306988716125},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.4646415710449219},{"id":"https://openalex.org/C527648132","wikidata":"https://www.wikidata.org/wiki/Q189900","display_name":"Information security","level":2,"score":0.4589582085609436},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4486992061138153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4466995298862457},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.43628615140914917},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42296475172042847},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.39111045002937317},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.2018657922744751},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15243852138519287},{"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},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460620.3460738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460620.3460738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Data Science, E-learning and Information Systems 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2185068461","https://openalex.org/W2198623851","https://openalex.org/W2341878357","https://openalex.org/W2750384547","https://openalex.org/W2790990365","https://openalex.org/W2791319131","https://openalex.org/W2796994201","https://openalex.org/W2800369870","https://openalex.org/W2888823774","https://openalex.org/W2915213244","https://openalex.org/W2924807433","https://openalex.org/W2964998460","https://openalex.org/W2989467979","https://openalex.org/W2991813970","https://openalex.org/W3124441917","https://openalex.org/W4251212826"],"related_works":["https://openalex.org/W377587031","https://openalex.org/W2804010965","https://openalex.org/W3216311749","https://openalex.org/W3009298452","https://openalex.org/W2120309514","https://openalex.org/W2765456467","https://openalex.org/W3047270576","https://openalex.org/W2792900179","https://openalex.org/W2188514564","https://openalex.org/W4255200559"],"abstract_inverted_index":{"With":[0],"technological":[1],"advances":[2],"and":[3,119,135,151,160,167,175],"the":[4,7,11,32,40,77,81,114,121,124,153],"use":[5,13],"of":[6,14,28,42,76,83,116,123],"Internet":[8],"everywhere,":[9],"And":[10],"widespread":[12],"machine":[15,129],"learning":[16,130],"has":[17,145],"become":[18],"important":[19],"to":[20,23,53,60,67,73,112,148,157,170],"pay":[21],"attention":[22],"security":[24,41],"in":[25,31,46,63,80,94,97,141],"all":[26],"areas":[27],"life,":[29],"especially":[30],"healthcare":[33],"field,":[34],"many":[35,149],"concerns":[36],"have":[37],"arisen":[38],"regarding":[39],"patient":[43,55,139],"confidential":[44],"data":[45,64,68,176],"health":[47,84,90,143,173],"systems.":[48],"As":[49],"it":[50],"became":[51],"possible":[52],"change":[54,62],"data,":[56],"which":[57,70],"would":[58,71],"lead":[59,72],"a":[61,74,89,95],"accuracy":[65,115],"or":[66],"theft,":[69],"violation":[75],"safety":[78],"system":[79,91,144],"field":[82],"care.":[85],"In":[86],"this":[87,117],"paper,":[88],"was":[92,156],"studied":[93],"hospital":[96],"Jordan":[98],"after":[99],"collecting":[100],"information":[101,118,140,163],"on":[102],"769":[103],"records":[104],"for":[105,178],"pregnant":[106],"diabetics.":[107],"The":[108],"analysis":[109],"used":[110],"Python":[111],"test":[113],"improve":[120],"performance":[122,166],"model":[125],"being":[126],"created":[127],"using":[128],"algorithms,":[131],"including":[132],"decision":[133],"trees":[134],"random":[136],"forests.":[137],"Since":[138],"any":[142],"been":[146],"exposed":[147],"threats":[150],"weaknesses,":[152],"main":[154],"goal":[155],"reduce":[158],"them,":[159],"obtain":[161],"accurate":[162],"with":[164],"good":[165],"excellent":[168],"quality,":[169],"avoid":[171],"compromising":[172],"rights":[174],"protection":[177],"patients.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
