{"id":"https://openalex.org/W4407096623","doi":"https://doi.org/10.1007/s10916-025-02140-z","title":"Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases","display_name":"Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases","publication_year":2025,"publication_date":"2025-02-03","ids":{"openalex":"https://openalex.org/W4407096623","doi":"https://doi.org/10.1007/s10916-025-02140-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/39900784"},"language":"en","primary_location":{"id":"doi:10.1007/s10916-025-02140-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-025-02140-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-025-02140-z.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Medical Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10916-025-02140-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021601857","display_name":"Alejandro Hern\u00e1ndez-Arango","orcid":null},"institutions":[{"id":"https://openalex.org/I35961687","display_name":"Universidad de Antioquia","ror":"https://ror.org/03bp5hc83","country_code":"CO","type":"education","lineage":["https://openalex.org/I35961687"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Alejandro Hern\u00e1ndez-Arango","raw_affiliation_strings":["Department of Internal Medicine, University of Antioquia, Medell\u00edn, Colombia. alejandro.hernandeza@udea.edu.co","Faculty of Medicine, Department of Internal Medicine, Hospital Alma Mater de Antioquia, University of Antioquia, University of Antioquia, Carrera 51 A # 62 - 42, Medell\u00edn, Colombia. alejandro.hernandeza@udea.edu.co","Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia. alejandro.hernandeza@udea.edu.co","Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia","Department of Internal Medicine, University of Antioquia, Medell\u00edn, Colombia","Faculty of Medicine, Department of Internal Medicine, Hospital Alma Mater de Antioquia, University of Antioquia, University of Antioquia, Carrera 51 A # 62 \u2013 42, Medell\u00edn, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Internal Medicine, University of Antioquia, Medell\u00edn, Colombia. alejandro.hernandeza@udea.edu.co","institution_ids":["https://openalex.org/I35961687"]},{"raw_affiliation_string":"Faculty of Medicine, Department of Internal Medicine, Hospital Alma Mater de Antioquia, University of Antioquia, University of Antioquia, Carrera 51 A # 62 - 42, Medell\u00edn, Colombia. alejandro.hernandeza@udea.edu.co","institution_ids":["https://openalex.org/I35961687"]},{"raw_affiliation_string":"Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia. alejandro.hernandeza@udea.edu.co","institution_ids":["https://openalex.org/I35961687"]},{"raw_affiliation_string":"Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I35961687"]},{"raw_affiliation_string":"Department of Internal Medicine, University of Antioquia, Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I35961687"]},{"raw_affiliation_string":"Faculty of Medicine, Department of Internal Medicine, Hospital Alma Mater de Antioquia, University of Antioquia, University of Antioquia, Carrera 51 A # 62 \u2013 42, Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I35961687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006759063","display_name":"Mar\u00eda Isabel Arango Arias","orcid":null},"institutions":[{"id":"https://openalex.org/I35961687","display_name":"Universidad de Antioquia","ror":"https://ror.org/03bp5hc83","country_code":"CO","type":"education","lineage":["https://openalex.org/I35961687"]},{"id":"https://openalex.org/I4210101082","display_name":"Municipality of Medell\u00edn","ror":"https://ror.org/012245h64","country_code":"CO","type":"government","lineage":["https://openalex.org/I4210101082"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Mar\u00eda Isabel Arias","raw_affiliation_strings":["Health Information Systems Professional Living Lab. , Medell\u00edn, Colombia","Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Information Systems Professional Living Lab. , Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I4210101082"]},{"raw_affiliation_string":"Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I35961687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111598250","display_name":"Viviana P\u00e9rez","orcid":null},"institutions":[{"id":"https://openalex.org/I35961687","display_name":"Universidad de Antioquia","ror":"https://ror.org/03bp5hc83","country_code":"CO","type":"education","lineage":["https://openalex.org/I35961687"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Viviana P\u00e9rez","raw_affiliation_strings":["Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I35961687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113420662","display_name":"Luis Daniel Chavarr\u00eda","orcid":null},"institutions":[{"id":"https://openalex.org/I35961687","display_name":"Universidad de Antioquia","ror":"https://ror.org/03bp5hc83","country_code":"CO","type":"education","lineage":["https://openalex.org/I35961687"]},{"id":"https://openalex.org/I4210133585","display_name":"Universidad de Medell\u00edn","ror":"https://ror.org/030kw0b65","country_code":"CO","type":"education","lineage":["https://openalex.org/I4210133585"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Luis Daniel Chavarr\u00eda","raw_affiliation_strings":["Data Scientist, National University, Medell\u00edn, Colombia","Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Scientist, National University, Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I4210133585"]},{"raw_affiliation_string":"Hospital Alma Mater de Antioquia, University of Antioquia, Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I35961687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044355109","display_name":"Fabi\u00e1n Jaimes","orcid":"https://orcid.org/0000-0002-7315-5367"},"institutions":[{"id":"https://openalex.org/I35961687","display_name":"Universidad de Antioquia","ror":"https://ror.org/03bp5hc83","country_code":"CO","type":"education","lineage":["https://openalex.org/I35961687"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Fabian Jaimes","raw_affiliation_strings":["Department of Internal Medicine, University of Antioquia, Medell\u00edn, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Internal Medicine, University of Antioquia, Medell\u00edn, Colombia","institution_ids":["https://openalex.org/I35961687"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021601857"],"corresponding_institution_ids":["https://openalex.org/I35961687"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":3.6693,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93068943,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"49","issue":"1","first_page":"19","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9940000176429749,"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"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9940000176429749,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9891999959945679,"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/T14400","display_name":"Medical Coding and Health Information","score":0.9868000149726868,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7511982917785645},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.7085342407226562},{"id":"https://openalex.org/keywords/dyslipidemia","display_name":"Dyslipidemia","score":0.706625759601593},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.5857076048851013},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5478430390357971},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5211268067359924},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.4824567437171936},{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.4798288345336914},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.46174365282058716},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.45523619651794434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43535780906677246},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.4128618538379669},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.3471525013446808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22352004051208496},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.2053399384021759},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.0978204607963562}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7511982917785645},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7085342407226562},{"id":"https://openalex.org/C2778096610","wikidata":"https://www.wikidata.org/wiki/Q1476525","display_name":"Dyslipidemia","level":3,"score":0.706625759601593},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.5857076048851013},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5478430390357971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5211268067359924},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.4824567437171936},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.4798288345336914},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.46174365282058716},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.45523619651794434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43535780906677246},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.4128618538379669},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3471525013446808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22352004051208496},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.2053399384021759},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0978204607963562},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"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":"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":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D000073296","descriptor_name":"Noncommunicable Diseases","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","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":"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003105","descriptor_name":"Colombia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D003105","descriptor_name":"Colombia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D003105","descriptor_name":"Colombia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D003105","descriptor_name":"Colombia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D003105","descriptor_name":"Colombia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D003105","descriptor_name":"Colombia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","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":"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":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"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":"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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1007/s10916-025-02140-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-025-02140-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-025-02140-z.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Medical Systems","raw_type":"journal-article"},{"id":"pmid:39900784","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39900784","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":"Journal of medical systems","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11790785","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11790785","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11790785/pdf/10916_2025_Article_2140.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,"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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Med Syst","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10916-025-02140-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-025-02140-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-025-02140-z.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Medical Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.75,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323197","display_name":"Universidad de Antioquia","ror":"https://ror.org/03bp5hc83"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407096623.pdf","grobid_xml":"https://content.openalex.org/works/W4407096623.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2036727380","https://openalex.org/W2097360283","https://openalex.org/W2150579376","https://openalex.org/W2295598076","https://openalex.org/W2328176404","https://openalex.org/W2333875129","https://openalex.org/W2495174546","https://openalex.org/W2567552487","https://openalex.org/W2803660715","https://openalex.org/W2888109941","https://openalex.org/W2989024456","https://openalex.org/W3049774360","https://openalex.org/W3131365885","https://openalex.org/W3135083987","https://openalex.org/W3157791054","https://openalex.org/W3165406331","https://openalex.org/W3184022450","https://openalex.org/W4280572991","https://openalex.org/W4317743691","https://openalex.org/W4394857110"],"related_works":["https://openalex.org/W4245848028","https://openalex.org/W2743915337","https://openalex.org/W2046929026","https://openalex.org/W2779278343","https://openalex.org/W1996434451","https://openalex.org/W1569026615","https://openalex.org/W2791725133","https://openalex.org/W2338117633","https://openalex.org/W2112831187","https://openalex.org/W2122149485"],"abstract_inverted_index":{"Decision-making":[0],"in":[1,23,37,93,107,251,256,278],"chronic":[2],"diseases":[3,85],"guided":[4],"by":[5],"clinical":[6,35,77,257,260],"decision":[7,78,261],"support":[8,79,262],"systems":[9,39],"that":[10],"use":[11,29],"models":[12],"including":[13],"multiple":[14],"variables":[15],"based":[16,264],"on":[17,265],"artificial":[18,266],"intelligence":[19,267],"requires":[20],"scientific":[21],"validation":[22],"different":[24],"populations":[25,279],"to":[26,74,241,254],"optimize":[27],"the":[28,88,108,142,156,168,178,190,199,211,234,252,276],"of":[30,151,162,185],"limited":[31],"human,":[32],"financial,":[33],"and":[34,53,67,119,136,167,198,228],"resources":[36],"healthcare":[38],"worldwide.":[40],"This":[41],"cohort":[42,253],"study":[43],"evaluated":[44],"three":[45,63],"machine":[46],"learning":[47],"algorithms-XGBoost,":[48],"Elastic":[49,143,179,220],"Net":[50,144,180],"logistic":[51,145],"regression,":[52],"an":[54,149,160,183,244],"Artificial":[55],"Neural":[56,169,200],"Network-to":[57],"develop":[58],"a":[59,76],"prediction":[60],"model":[61,147,158,181,192],"for":[62,81,219,226,233,283],"outcomes:":[64],"mortality,":[65],"hospitalization,":[66,177],"emergency":[68,208],"department":[69,209],"visits.":[70],"The":[71,110,124],"objective":[72],"was":[73,113,239],"build":[75],"system":[80,263],"patients":[82,105],"with":[83,116,243,280],"noncommunicable":[84],"treated":[86],"at":[87],"Alma":[89],"Mater":[90],"Hospital":[91],"complex":[92],"Medell\u00edn,":[94],"Colombia.":[95],"We":[96],"collected":[97],"4845":[98],"electronic":[99,269],"medical":[100,127,270],"record":[101],"entries":[102],"from":[103],"5000":[104],"included":[106],"study.":[109],"median":[111],"age":[112],"71.83":[114],"years,":[115],"63.8%":[117],"women":[118],"29.7%":[120],"receiving":[121],"home":[122],"care.":[123],"most":[125],"prevalent":[126],"conditions":[128],"were":[129,214],"diabetes":[130],"(52.9%),":[131],"hypertension":[132],"(67.2%),":[133],"dyslipidemia":[134],"(57.3%),":[135],"COPD":[137],"(19.4%).":[138],"For":[139,176,207],"mortality":[140],"prediction,":[141],"regression":[146],"achieved":[148,171,193],"AUCROC":[150,161,184,212],"0.883":[152],"(95%":[153,164,173,187,195,204,216,223,230],"CI:":[154,165,174,188,196,205,217,224,231],"0.848-0.917),":[155],"XGBoost":[157,191],"reached":[159],"0.896":[163],"0.865-0.927),":[166],"Network":[170,201],"0.886":[172],"0.853-0.916).":[175],"had":[182],"0.952":[186],"0.937-0.965),":[189],"0.963":[194],"0.952-0.974),":[197],"scored":[202],"0.932":[203],"0.915-0.948).":[206],"visits,":[210],"values":[213],"0.980":[215],"0.971-0.987)":[218],"Net,":[221],"0.977":[222],"0.967-0.986)":[225],"XGBoost,":[227],"0.976":[229],"0.968-0.982)":[232],"neural":[235],"network.":[236],"A":[237,259],"dashboard":[238],"developed":[240],"interact":[242],"ensemble":[245],"risk":[246,250,277],"categorization":[247],"segmenting":[248,275],"patient":[249],"aid":[255],"decision-making.":[258,285],"using":[268],"records":[271],"possibly":[272],"can":[273],"help":[274],"Noncommunicable":[281],"Diseases":[282],"effective":[284]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-12T07:33:03.550515","created_date":"2025-10-10T00:00:00"}
