{"id":"https://openalex.org/W2995283297","doi":"https://doi.org/10.1186/s12911-019-0990-x","title":"Implementation of machine learning algorithms to create diabetic patient re-admission profiles","display_name":"Implementation of machine learning algorithms to create diabetic patient re-admission profiles","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2995283297","doi":"https://doi.org/10.1186/s12911-019-0990-x","mag":"2995283297","pmid":"https://pubmed.ncbi.nlm.nih.gov/31830980"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-019-0990-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-019-0990-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-019-0990-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-019-0990-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030897615","display_name":"Mohamed Alloghani","orcid":"https://orcid.org/0000-0003-3617-0987"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]},{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["AE","GB"],"is_corresponding":true,"raw_author_name":"Mohamed Alloghani","raw_affiliation_strings":["Liverpool John Moores University, Liverpool, UAE. phdmn2015@gmail.com","The Artificial Intelligence Department-, Dubai, UAE. phdmn2015@gmail.com","The Artificial Intelligence Department-, Dubai, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liverpool John Moores University, Liverpool, UAE. phdmn2015@gmail.com","institution_ids":["https://openalex.org/I63098007"]},{"raw_affiliation_string":"The Artificial Intelligence Department-, Dubai, UAE. phdmn2015@gmail.com","institution_ids":["https://openalex.org/I4210113480"]},{"raw_affiliation_string":"The Artificial Intelligence Department-, Dubai, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031764037","display_name":"Ahmed J. Aljaaf","orcid":"https://orcid.org/0000-0001-5072-2464"},"institutions":[{"id":"https://openalex.org/I27768575","display_name":"University of Anbar","ror":"https://ror.org/055a6gk50","country_code":"IQ","type":"education","lineage":["https://openalex.org/I27768575"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Ahmed Aljaaf","raw_affiliation_strings":["The Artificial Intelligence Department-, Dubai, UAE","The University of Anbar, Al-Tameem Street, Al-Anbar, Al-Ramadi, 55431, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Artificial Intelligence Department-, Dubai, UAE","institution_ids":[]},{"raw_affiliation_string":"The University of Anbar, Al-Tameem Street, Al-Anbar, Al-Ramadi, 55431, Iraq","institution_ids":["https://openalex.org/I27768575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113851655","display_name":"Abir Hussain","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abir Hussain","raw_affiliation_strings":["The Artificial Intelligence Department-, Dubai, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Artificial Intelligence Department-, Dubai, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065487579","display_name":"Thar Baker","orcid":"https://orcid.org/0000-0002-5166-4873"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thar Baker","raw_affiliation_strings":["The Artificial Intelligence Department-, Dubai, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Artificial Intelligence Department-, Dubai, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035982173","display_name":"Jamila Mustafina","orcid":"https://orcid.org/0000-0001-5770-4111"},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Jamila Mustafina","raw_affiliation_strings":["Kazan Federal University, Kremlyovskaya St, Kazan, Republic of Tatarstan, 420008, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kazan Federal University, Kremlyovskaya St, Kazan, Republic of Tatarstan, 420008, Russia","institution_ids":["https://openalex.org/I21203515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083103834","display_name":"Dhiya Al\u2010Jumeily","orcid":"https://orcid.org/0000-0002-9170-0568"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhiya Al-Jumeily","raw_affiliation_strings":["The Artificial Intelligence Department-, Dubai, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Artificial Intelligence Department-, Dubai, UAE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001007405","display_name":"Mohammed Khalaf","orcid":"https://orcid.org/0000-0002-3805-5627"},"institutions":[{"id":"https://openalex.org/I2800838116","display_name":"University of Al Maarif","ror":"https://ror.org/05scxf493","country_code":"IQ","type":"education","lineage":["https://openalex.org/I2800838116"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Mohammed Khalaf","raw_affiliation_strings":["Department of Computer Science, Al-Maarif University College, Anbar, The city of Ramadi, 31001, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Al-Maarif University College, Anbar, The city of Ramadi, 31001, Iraq","institution_ids":["https://openalex.org/I2800838116"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030897615"],"corresponding_institution_ids":["https://openalex.org/I4210113480","https://openalex.org/I63098007"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":7.5573,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97138343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"S9","first_page":"253","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8537999987602234,"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":0.8537999987602234,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.03319999948143959,"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":0.007600000128149986,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.8127731680870056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7375770211219788},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.6558175086975098},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6308430433273315},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6042513847351074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5610271692276001},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5339632630348206},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5209413766860962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5106218457221985},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.49574193358421326},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.4755163788795471},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.39973247051239014},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.17999416589736938},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.11232167482376099},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.09572508931159973}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8127731680870056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7375770211219788},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.6558175086975098},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6308430433273315},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6042513847351074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5610271692276001},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5339632630348206},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5209413766860962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5106218457221985},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.49574193358421326},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.4755163788795471},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.39973247051239014},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.17999416589736938},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.11232167482376099},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.09572508931159973}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010359","descriptor_name":"Patient Readmission","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010359","descriptor_name":"Patient Readmission","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010359","descriptor_name":"Patient Readmission","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12911-019-0990-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-019-0990-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-019-0990-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:31830980","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31830980","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:be98dd5aee014b2497520662ee800f7f","is_oa":false,"landing_page_url":"https://doaj.org/article/be98dd5aee014b2497520662ee800f7f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 19, Iss S9, Pp 1-16 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5874215","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6907102","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:openaire/4da5a2c8-ee21-4a13-81aa-96d930f2926a","is_oa":true,"landing_page_url":"https://research.brighton.ac.uk/en/publications/4da5a2c8-ee21-4a13-81aa-96d930f2926a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401758","display_name":"University of Brighton Repository (University of Brighton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71637028","host_organization_name":"University of Brighton","host_organization_lineage":["https://openalex.org/I71637028"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Alloghani, M, Aljaaf, A, Hussain, A, Baker, T, Mustafina, J, Al-Jumeily, D & Khalaf, M 2019, 'Implementation of machine learning algorithms to create diabetic patient re-admission profiles', BMC Medical Informatics and Decision Making, vol. 19, no. Suppl 9, 253(2019). https://doi.org/10.1186/s12911-019-0990-x","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-019-0990-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-019-0990-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-019-0990-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2995283297.pdf","grobid_xml":"https://content.openalex.org/works/W2995283297.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W163054539","https://openalex.org/W1517808374","https://openalex.org/W1973099390","https://openalex.org/W1994615757","https://openalex.org/W2014226385","https://openalex.org/W2084195001","https://openalex.org/W2092540443","https://openalex.org/W2096258313","https://openalex.org/W2126680464","https://openalex.org/W2140071320","https://openalex.org/W2166037537","https://openalex.org/W2198899446","https://openalex.org/W2379581788","https://openalex.org/W2519908083","https://openalex.org/W2560418948","https://openalex.org/W2567236077","https://openalex.org/W2569214105","https://openalex.org/W2602558539","https://openalex.org/W2617227509","https://openalex.org/W2729704924","https://openalex.org/W2765593915","https://openalex.org/W2768867965","https://openalex.org/W2776589520","https://openalex.org/W2793344725","https://openalex.org/W2795993365","https://openalex.org/W2801320991","https://openalex.org/W2802310679","https://openalex.org/W2805328357","https://openalex.org/W2805634975","https://openalex.org/W2807027008","https://openalex.org/W2810756255","https://openalex.org/W2883127447","https://openalex.org/W2895035285","https://openalex.org/W2896262061","https://openalex.org/W2897620540","https://openalex.org/W2902087014","https://openalex.org/W2906126865","https://openalex.org/W2907105313","https://openalex.org/W2917355953","https://openalex.org/W4229629337"],"related_works":["https://openalex.org/W2997511728","https://openalex.org/W4214653893","https://openalex.org/W4367336074","https://openalex.org/W4379620016","https://openalex.org/W3154045278","https://openalex.org/W2149097950","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3036853918","https://openalex.org/W3211372245"],"abstract_inverted_index":{"BACKGROUND:":[0],"Machine":[1,30],"learning":[2,31,56],"is":[3,10,32],"a":[4,37],"branch":[5],"of":[6,17,28,64,69,157],"Artificial":[7],"Intelligence":[8],"that":[9,71,113],"concerned":[11],"with":[12,61],"the":[13,26,58,62,99,111],"design":[14],"and":[15,19,35,47,67,93,105,148,188],"development":[16],"algorithms,":[18],"it":[20],"enables":[21],"today's":[22],"computers":[23],"to":[24,57,122,181],"have":[25],"property":[27],"learning.":[29],"gradually":[33],"growing":[34],"becoming":[36],"critical":[38],"approach":[39],"in":[40],"many":[41],"domains":[42],"such":[43],"as":[44],"health,":[45],"education,":[46],"business.":[48],"METHODS:":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"applied":[54],"machine":[55],"diabetes":[59,77],"dataset":[60],"aim":[63],"recognizing":[65],"patterns":[66],"combinations":[68],"factors":[70],"characterizes":[72],"or":[73,128,130,132,142,155,199],"explain":[74],"re-admission":[75],"among":[76],"patients.":[78],"The":[79],"classifiers":[80],"used":[81],"include":[82],"Linear":[83],"Discriminant":[84],"Analysis,":[85],"Random":[86],"Forest,":[87],"k-Nearest":[88],"Neighbor,":[89],"Na\u00efve":[90],"Bayes,":[91],"J48":[92],"Support":[94],"vector":[95],"machine.":[96],"RESULTS:":[97],"Of":[98],"100,000":[100],"cases,":[101],"78,363":[102],"were":[103,108],"diabetic":[104,116],"over":[106],"47%":[107],"readmitted.Based":[109],"on":[110],"classes":[112],"models":[114],"produced,":[115],"patients":[117,168],"who":[118,134,144,169],"are":[119,125,149,178,196],"more":[120,179],"likely":[121,180],"be":[123,182],"readmitted":[124,183],"either":[126],"women,":[127,197],"Caucasians,":[129,198],"outpatients,":[131],"those":[133,143],"undergo":[135,172],"less":[136,146],"rigorous":[137],"lab":[138,174],"procedures,":[139,141],"treatment":[140],"receive":[145],"medication,":[147],"thus":[150],"discharged":[151,185],"without":[152,186,189],"proper":[153],"improvements":[154,187],"administration":[156],"insulin":[158,191],"despite":[159],"having":[160],"been":[161],"tested":[162],"positive":[163],"for":[164],"HbA1c.":[165],"CONCLUSION:":[166],"Diabetic":[167],"do":[170],"not":[171],"vigorous":[173],"assessments,":[175],"diagnosis,":[176],"medications":[177],"when":[184],"receiving":[190],"administration,":[192],"especially":[193],"if":[194],"they":[195],"both.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":7}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
