{"id":"https://openalex.org/W4381081923","doi":"https://doi.org/10.1093/jamia/ocad097","title":"To predict the risk of chronic kidney disease (CKD) using Generalized Additive2 Models (GA2M)","display_name":"To predict the risk of chronic kidney disease (CKD) using Generalized Additive2 Models (GA2M)","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4381081923","doi":"https://doi.org/10.1093/jamia/ocad097","pmid":"https://pubmed.ncbi.nlm.nih.gov/37330672"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocad097","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocad097","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10436146/pdf/ocad097.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017900514","display_name":"Francesco Lapi","orcid":"https://orcid.org/0000-0002-4342-9128"},"institutions":[{"id":"https://openalex.org/I4210138539","display_name":"Societ\u00e0 Italiana di Medicina Generale","ror":"https://ror.org/03sn3te07","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210138539"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Lapi","raw_affiliation_strings":["Health Search, Italian College of General Practitioners and Primary Care , Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Health Search, Italian College of General Practitioners and Primary Care , Florence, Italy","institution_ids":["https://openalex.org/I4210138539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113154853","display_name":"L. C. Nuti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lorenzo Nuti","raw_affiliation_strings":["Genomedics SRL , Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Genomedics SRL , Florence, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023626461","display_name":"Ettore Marconi","orcid":"https://orcid.org/0000-0003-3389-2239"},"institutions":[{"id":"https://openalex.org/I4210138539","display_name":"Societ\u00e0 Italiana di Medicina Generale","ror":"https://ror.org/03sn3te07","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210138539"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ettore Marconi","raw_affiliation_strings":["Health Search, Italian College of General Practitioners and Primary Care , Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Health Search, Italian College of General Practitioners and Primary Care , Florence, Italy","institution_ids":["https://openalex.org/I4210138539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081392608","display_name":"Gerardo Medea","orcid":"https://orcid.org/0009-0004-2034-6495"},"institutions":[{"id":"https://openalex.org/I4210138539","display_name":"Societ\u00e0 Italiana di Medicina Generale","ror":"https://ror.org/03sn3te07","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210138539"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gerardo Medea","raw_affiliation_strings":["Italian College of General Practitioners and Primary Care , Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Italian College of General Practitioners and Primary Care , Florence, Italy","institution_ids":["https://openalex.org/I4210138539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014980791","display_name":"Iacopo Cricelli","orcid":"https://orcid.org/0000-0003-3961-6614"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iacopo Cricelli","raw_affiliation_strings":["Genomedics SRL , Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Genomedics SRL , Florence, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104223155","display_name":"Matteo Papi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139728","display_name":"AstraZeneca (Italy)","ror":"https://ror.org/04e6qgn10","country_code":"IT","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210139728"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Papi","raw_affiliation_strings":["AstraZeneca Italy, MIND , Milan, Italy"],"affiliations":[{"raw_affiliation_string":"AstraZeneca Italy, MIND , Milan, Italy","institution_ids":["https://openalex.org/I4210139728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040024741","display_name":"Marco Gorini","orcid":"https://orcid.org/0009-0008-1455-3884"},"institutions":[{"id":"https://openalex.org/I4210139728","display_name":"AstraZeneca (Italy)","ror":"https://ror.org/04e6qgn10","country_code":"IT","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210139728"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Gorini","raw_affiliation_strings":["AstraZeneca Italy, MIND , Milan, Italy"],"affiliations":[{"raw_affiliation_string":"AstraZeneca Italy, MIND , Milan, Italy","institution_ids":["https://openalex.org/I4210139728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034270491","display_name":"Matteo Fiorani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matteo Fiorani","raw_affiliation_strings":["Data Life SRL , Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Data Life SRL , Florence, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103022024","display_name":"Gaetano Piccinocchi","orcid":"https://orcid.org/0000-0002-6361-5729"},"institutions":[{"id":"https://openalex.org/I4210138539","display_name":"Societ\u00e0 Italiana di Medicina Generale","ror":"https://ror.org/03sn3te07","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210138539"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gaetano Piccinocchi","raw_affiliation_strings":["Italian College of General Practitioners and Primary Care , Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Italian College of General Practitioners and Primary Care , Florence, Italy","institution_ids":["https://openalex.org/I4210138539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062598040","display_name":"Claudio Cricelli","orcid":"https://orcid.org/0000-0002-9607-5802"},"institutions":[{"id":"https://openalex.org/I4210138539","display_name":"Societ\u00e0 Italiana di Medicina Generale","ror":"https://ror.org/03sn3te07","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210138539"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Cricelli","raw_affiliation_strings":["Italian College of General Practitioners and Primary Care , Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Italian College of General Practitioners and Primary Care , Florence, Italy","institution_ids":["https://openalex.org/I4210138539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5017900514"],"corresponding_institution_ids":["https://openalex.org/I4210138539"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":3.4684,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93418847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"30","issue":"9","first_page":"1494","last_page":"1502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9916999936103821,"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":0.9916999936103821,"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":0.9793999791145325,"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/T10144","display_name":"Blood Pressure and Hypertension Studies","score":0.973800003528595,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8997035026550293},{"id":"https://openalex.org/keywords/kidney-disease","display_name":"Kidney disease","score":0.7862548828125},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7625497579574585},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7382618188858032},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6248992681503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5982548594474792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5866523385047913},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5492595434188843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5336787104606628},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5222024321556091},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.486827552318573},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46135589480400085},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.4306448698043823},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4109199643135071},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2826088070869446},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.26721489429473877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2423318326473236},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.21820080280303955}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8997035026550293},{"id":"https://openalex.org/C2778653478","wikidata":"https://www.wikidata.org/wiki/Q1054718","display_name":"Kidney disease","level":2,"score":0.7862548828125},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7625497579574585},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7382618188858032},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6248992681503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5982548594474792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5866523385047913},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5492595434188843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5336787104606628},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5222024321556091},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.486827552318573},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46135589480400085},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.4306448698043823},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4109199643135071},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2826088070869446},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.26721489429473877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2423318326473236},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.21820080280303955},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"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":"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":"D051436","descriptor_name":"Renal Insufficiency, Chronic","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D051436","descriptor_name":"Renal Insufficiency, Chronic","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D051436","descriptor_name":"Renal Insufficiency, Chronic","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D051436","descriptor_name":"Renal Insufficiency, Chronic","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocad097","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocad097","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:37330672","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37330672","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 the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10436146","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10436146","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10436146/pdf/ocad097.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10436146","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10436146","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10436146/pdf/ocad097.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307770","display_name":"AstraZeneca","ror":"https://ror.org/04r9x1a08"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381081923.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1564884763","https://openalex.org/W1565746575","https://openalex.org/W2015929254","https://openalex.org/W2019002332","https://openalex.org/W2028048791","https://openalex.org/W2046945713","https://openalex.org/W2078271269","https://openalex.org/W2093335171","https://openalex.org/W2093935755","https://openalex.org/W2116954400","https://openalex.org/W2119910794","https://openalex.org/W2126676767","https://openalex.org/W2138571287","https://openalex.org/W2140685775","https://openalex.org/W2162772535","https://openalex.org/W2285184492","https://openalex.org/W2470481127","https://openalex.org/W2582602949","https://openalex.org/W2805089815","https://openalex.org/W2907554860","https://openalex.org/W2913997948","https://openalex.org/W2986999055","https://openalex.org/W2991382640","https://openalex.org/W3000795845","https://openalex.org/W3005957464","https://openalex.org/W3011484826","https://openalex.org/W3015904344","https://openalex.org/W3094834023","https://openalex.org/W3095099370","https://openalex.org/W3117160760","https://openalex.org/W3155309814","https://openalex.org/W3172921504","https://openalex.org/W3207434859","https://openalex.org/W3214439486","https://openalex.org/W4200313272","https://openalex.org/W4237247744","https://openalex.org/W4253760867","https://openalex.org/W4282923691","https://openalex.org/W4296662802","https://openalex.org/W6633774736","https://openalex.org/W6662026312","https://openalex.org/W6757796945","https://openalex.org/W6794221991"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":{"The":[0],"GA2M":[1],"was":[2],"reliably":[3],"performant":[4],"in":[5,8],"predicting":[6],"CKD":[7],"primary":[9],"care.":[10],"A":[11],"related":[12],"decision":[13],"support":[14],"system":[15],"might":[16],"be":[17],"therefore":[18],"implemented.":[19]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}