{"id":"https://openalex.org/W4401435005","doi":"https://doi.org/10.4258/hir.2024.30.3.253","title":"Predicting the Risk of Severity and Readmission in Patients with Heart Failure in Indonesia: A Machine Learning Approach","display_name":"Predicting the Risk of Severity and Readmission in Patients with Heart Failure in Indonesia: A Machine Learning Approach","publication_year":2024,"publication_date":"2024-07-31","ids":{"openalex":"https://openalex.org/W4401435005","doi":"https://doi.org/10.4258/hir.2024.30.3.253","pmid":"https://pubmed.ncbi.nlm.nih.gov/39160784","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/11333822"},"language":"en","primary_location":{"id":"doi:10.4258/hir.2024.30.3.253","doi":"https://doi.org/10.4258/hir.2024.30.3.253","is_oa":true,"landing_page_url":"https://doi.org/10.4258/hir.2024.30.3.253","pdf_url":"https://e-hir.org/upload/pdf/hir-2024-30-3-253.pdf","source":{"id":"https://openalex.org/S134918553","display_name":"Healthcare Informatics Research","issn_l":"2093-3681","issn":["2093-3681","2093-369X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","doyens","jufo-1","kci-registered","norway-1","poland-70","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Healthcare Informatics Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://e-hir.org/upload/pdf/hir-2024-30-3-253.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106362700","display_name":"Finna E. Indriany","orcid":"https://orcid.org/0000-0002-6855-7003","observed_orcids":["https://orcid.org/0000-0002-6855-7003"]},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Finna E. Indriany","raw_affiliation_strings":["Faculty of Public Health, Universitas Indonesia, Depok City, West Java, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-6855-7003","affiliations":[{"raw_affiliation_string":"Faculty of Public Health, Universitas Indonesia, Depok City, West Java, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068574352","display_name":"Kemal N. Siregar","orcid":"https://orcid.org/0000-0003-1229-0060","observed_orcids":["https://orcid.org/0000-0003-1229-0060","https://orcid.org/0000-0001-6156-3673"]},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kemal N. Siregar","raw_affiliation_strings":["Faculty of Public Health, Universitas Indonesia, Depok City, West Java, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-1229-0060","affiliations":[{"raw_affiliation_string":"Faculty of Public Health, Universitas Indonesia, Depok City, West Java, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082498551","display_name":"Budhi Setianto Purwowiyoto","orcid":"https://orcid.org/0000-0001-5751-5556","observed_orcids":["https://orcid.org/0000-0001-5751-5556"]},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Budhi Setianto Purwowiyoto","raw_affiliation_strings":["Cardiology and Vascular Medicine Department, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia"],"raw_orcid":"https://orcid.org/0000-0001-5751-5556","affiliations":[{"raw_affiliation_string":"Cardiology and Vascular Medicine Department, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037481883","display_name":"Bambang Budi Siswanto","orcid":"https://orcid.org/0000-0003-3998-1590","observed_orcids":["https://orcid.org/0000-0003-3998-1590"]},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Bambang Budi Siswanto","raw_affiliation_strings":["Cardiology and Vascular Medicine Department, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-3998-1590","affiliations":[{"raw_affiliation_string":"Cardiology and Vascular Medicine Department, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044635078","display_name":"Indrajani Sutedja","orcid":"https://orcid.org/0000-0002-6356-3957","observed_orcids":["https://orcid.org/0000-0002-6356-3957"]},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Indrajani Sutedja","raw_affiliation_strings":["Information Systems Department, School of Information Systems, Bina Nusantara University Indonesia, Jakarta, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-6356-3957","affiliations":[{"raw_affiliation_string":"Information Systems Department, School of Information Systems, Bina Nusantara University Indonesia, Jakarta, Indonesia","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077915057","display_name":"Hendy Risdianto Wijaya","orcid":"https://orcid.org/0009-0006-2941-5981","observed_orcids":["https://orcid.org/0009-0006-2941-5981"]},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hendy R. Wijaya","raw_affiliation_strings":["Information Systems Department, School of Information Systems, Bina Nusantara University Indonesia, Jakarta, Indonesia"],"raw_orcid":"https://orcid.org/0009-0006-2941-5981","affiliations":[{"raw_affiliation_string":"Information Systems Department, School of Information Systems, Bina Nusantara University Indonesia, Jakarta, Indonesia","institution_ids":["https://openalex.org/I166073570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5106362700"],"corresponding_institution_ids":["https://openalex.org/I29617571"],"apc_list":{"value":300,"currency":"USD","value_usd":300},"apc_paid":{"value":300,"currency":"USD","value_usd":300},"fwci":1.2574,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80096708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"30","issue":"3","first_page":"253","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8988999724388123,"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":0.8988999724388123,"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/T10198","display_name":"Heart Failure Treatment and Management","score":0.09719999879598618,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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":0.0003000000142492354,"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/heart-failure","display_name":"heart failure","score":1.0},{"id":"https://openalex.org/keywords/hospital-readmission-prediction","display_name":"hospital readmission prediction","score":0.8240000009536743},{"id":"https://openalex.org/keywords/heart-failure-severity","display_name":"heart failure severity","score":0.8610000014305115},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7210000157356262},{"id":"https://openalex.org/keywords/machine-learning-prediction-models","display_name":"machine learning prediction models","score":0.5889999866485596},{"id":"https://openalex.org/keywords/patient-self-monitoring","display_name":"patient self-monitoring","score":0.890999972820282},{"id":"https://openalex.org/keywords/mobile-health-apps","display_name":"mobile health apps","score":0.9309999942779541},{"id":"https://openalex.org/keywords/indonesian-patients","display_name":"Indonesian patients","score":0.42500001192092896}],"concepts":[{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.7695920467376709},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.553852915763855},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.4391600489616394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40696555376052856},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.33833691477775574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3256005644798279}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.4258/hir.2024.30.3.253","doi":"https://doi.org/10.4258/hir.2024.30.3.253","is_oa":true,"landing_page_url":"https://doi.org/10.4258/hir.2024.30.3.253","pdf_url":"https://e-hir.org/upload/pdf/hir-2024-30-3-253.pdf","source":{"id":"https://openalex.org/S134918553","display_name":"Healthcare Informatics Research","issn_l":"2093-3681","issn":["2093-3681","2093-369X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","doyens","jufo-1","kci-registered","norway-1","poland-70","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Healthcare Informatics Research","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11333822","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11333822","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11333822/pdf/hir-2024-30-3-253.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Healthc Inform Res","raw_type":"Text"},{"id":"pmid:39160784","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39160784","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,"listed_in":[],"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":"Healthcare informatics research","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:4292b38990944752860b95f3be379b0d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/4292b38990944752860b95f3be379b0d","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Healthcare Informatics Research, Vol 30, Iss 3, Pp 253-265 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.4258/hir.2024.30.3.253","doi":"https://doi.org/10.4258/hir.2024.30.3.253","is_oa":true,"landing_page_url":"https://doi.org/10.4258/hir.2024.30.3.253","pdf_url":"https://e-hir.org/upload/pdf/hir-2024-30-3-253.pdf","source":{"id":"https://openalex.org/S134918553","display_name":"Healthcare Informatics Research","issn_l":"2093-3681","issn":["2093-3681","2093-369X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","doyens","jufo-1","kci-registered","norway-1","poland-70","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Healthcare Informatics Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":1.0}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[{"id":"https://openalex.org/G8442291043","display_name":null,"funder_award_id":"NKB-213/UN2.RST/HKP.05.00/2023","funder_id":"https://openalex.org/F4320323819","funder_display_name":"Universitas Indonesia"}],"funders":[{"id":"https://openalex.org/F4320323819","display_name":"Universitas Indonesia","ror":"https://ror.org/0116zj450"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401435005.pdf","grobid_xml":"https://content.openalex.org/works/W4401435005.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2130647897","https://openalex.org/W2504844215","https://openalex.org/W2542719835","https://openalex.org/W2549885908","https://openalex.org/W2553101787","https://openalex.org/W2759922883","https://openalex.org/W2806002994","https://openalex.org/W2808897169","https://openalex.org/W2810631447","https://openalex.org/W2911697675","https://openalex.org/W2987201163","https://openalex.org/W2995380223","https://openalex.org/W3005825310","https://openalex.org/W3033775922","https://openalex.org/W3193598686","https://openalex.org/W3194833644","https://openalex.org/W4200213577","https://openalex.org/W4210937888","https://openalex.org/W4220837239","https://openalex.org/W4225275371","https://openalex.org/W4318016644","https://openalex.org/W4319455764","https://openalex.org/W4384926493","https://openalex.org/W4385987241"],"related_works":["https://openalex.org/W3098746656","https://openalex.org/W4392144245","https://openalex.org/W7165516905","https://openalex.org/W7117519735","https://openalex.org/W4392351745","https://openalex.org/W4413816760","https://openalex.org/W7161948724","https://openalex.org/W3213001914","https://openalex.org/W7128019062","https://openalex.org/W2549885908"],"abstract_inverted_index":{"OBJECTIVES:":[0],"In":[1,59],"Indonesia,":[2],"the":[3,66,74,88,130,133,141,163,169,206],"poor":[4],"prognosis":[5],"and":[6,45,48,82,110,119,137,186,227,230],"high":[7],"hospital":[8,46,120,211,228],"readmission":[9,156,187,212],"rates":[10],"of":[11,68,124],"patients":[12,69,143,160,214],"with":[13,71,144,215],"heart":[14],"failure":[15],"(HF)":[16],"have":[17,201],"yet":[18],"to":[19,30,36,73,115,151,209,241],"receive":[20],"focused":[21],"attention.":[22],"However,":[23],"machine":[24],"learning":[25],"(ML)":[26],"approaches":[27],"can":[28],"help":[29],"mitigate":[31],"these":[32,125],"problems.":[33],"We":[34],"aimed":[35],"determine":[37],"which":[38],"ML":[39,94],"models":[40,126],"best":[41,170,207,222],"predicted":[42],"HF":[43,72,117,175,189,225],"severity":[44,118,176,226],"readmissions":[47,229],"could":[49],"be":[50,232],"used":[51,114],"in":[52,79,158,172,213,223],"a":[53,60,235],"patient":[54,239],"self-monitoring":[55,240],"mobile":[56,236],"application.":[57],"METHODS:":[58],"retrospective":[61],"cohort":[62],"study,":[63],"we":[64],"collected":[65],"data":[67,90],"admitted":[70],"Siloam":[75],"Diagram":[76],"Heart":[77],"Center":[78],"2020,":[80],"2021,":[81],"2022.":[83],"Data":[84],"was":[85,127],"analyzed":[86],"using":[87,129],"Orange":[89],"mining":[91],"classification":[92],"method.":[93],"support":[95],"algorithms,":[96],"including":[97],"artificial":[98],"neural":[99],"network":[100],"(ANN),":[101],"random":[102],"forest,":[103],"gradient":[104],"boosting,":[105],"Na\u00efve":[106],"Bayes,":[107],"tree-based":[108],"models,":[109],"logistic":[111],"regression":[112],"were":[113,148],"predict":[116,210],"readmissions.":[121,243],"The":[122,218],"performance":[123,171],"evaluated":[128],"area":[131],"under":[132],"curve":[134],"(AUC),":[135],"accuracy,":[136],"F1-scores.":[138],"RESULTS:":[139],"Of":[140,162],"543":[142],"HF,":[145],"3":[146],"(0.56%)":[147],"excluded":[149],"due":[150],"death":[152],"on":[153],"admission.":[154],"Hospital":[155],"occurred":[157],"138":[159],"(25.6%).":[161],"six":[164],"algorithms":[165],"tested,":[166],"ANN":[167,219],"showed":[168],"predicting":[173,224],"both":[174],"(AUC":[177,190],"=":[178,181,184,191,194,197],"1.000,":[179],"accuracy":[180,193],"0.998,":[182,192],"F1-score":[183,196],"0.998)":[185],"for":[188,205,238],"0.975,":[195],"0.972).":[198],"Other":[199],"studies":[200],"shown":[202],"variable":[203],"results":[204],"algorithm":[208,220],"HF.":[216],"CONCLUSIONS:":[217],"performed":[221],"will":[231],"integrated":[233],"into":[234],"application":[237],"prevent":[242]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-08-09T00:00:00"}