{"id":"https://openalex.org/W4390498866","doi":"https://doi.org/10.1186/s12911-023-02412-z","title":"Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis","display_name":"Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis","publication_year":2024,"publication_date":"2024-01-02","ids":{"openalex":"https://openalex.org/W4390498866","doi":"https://doi.org/10.1186/s12911-023-02412-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/38166909"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-023-02412-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02412-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02412-z","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/counter/pdf/10.1186/s12911-023-02412-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054771823","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0001-5839-7993"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210092099","display_name":"Daping Hospital","ror":"https://ror.org/00fthae95","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092099"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China","institution_ids":["https://openalex.org/I4210092099","https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100932127","display_name":"Jingfang Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210092099","display_name":"Daping Hospital","ror":"https://ror.org/00fthae95","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092099"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfang Wan","raw_affiliation_strings":["Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China","institution_ids":["https://openalex.org/I4210092099","https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415295","display_name":"Lei Feng","orcid":"https://orcid.org/0000-0002-6449-0307"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210092099","display_name":"Daping Hospital","ror":"https://ror.org/00fthae95","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092099"]},{"id":"https://openalex.org/I4210131174","display_name":"Southwest Hospital","ror":"https://ror.org/02jn36537","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210131174"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Feng","raw_affiliation_strings":["Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China","Teaching Office, Medical Research Department, Army Special Medical Center, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China","institution_ids":["https://openalex.org/I4210092099","https://openalex.org/I151075929"]},{"raw_affiliation_string":"Teaching Office, Medical Research Department, Army Special Medical Center, Chongqing, China","institution_ids":["https://openalex.org/I4210131174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101951198","display_name":"Shihui Hou","orcid":"https://orcid.org/0000-0003-4240-0275"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210092099","display_name":"Daping Hospital","ror":"https://ror.org/00fthae95","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092099"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihui Hou","raw_affiliation_strings":["Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China","institution_ids":["https://openalex.org/I4210092099","https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111104815","display_name":"Kaizhen Yv","orcid":null},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210092099","display_name":"Daping Hospital","ror":"https://ror.org/00fthae95","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092099"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaizhen Yv","raw_affiliation_strings":["Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China","institution_ids":["https://openalex.org/I4210092099","https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113220436","display_name":"Xu Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I191996457","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608","country_code":"CN","type":"education","lineage":["https://openalex.org/I191996457"]},{"id":"https://openalex.org/I4210097509","display_name":"Second Affiliated Hospital of Chongqing Medical University","ror":"https://ror.org/00r67fz39","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097509"]},{"id":"https://openalex.org/I87780372","display_name":"Chongqing Medical University","ror":"https://ror.org/017z00e58","country_code":"CN","type":"education","lineage":["https://openalex.org/I87780372"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Xu","raw_affiliation_strings":["Department of Medical Engineering, The Second Affiliated Hospital of the Army Medical University, Chongqing, 400037, China. 247244526@qq.com","Department of Medical Engineering, The Second Affiliated Hospital of the Army Medical University, Chongqing, 400037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Engineering, The Second Affiliated Hospital of the Army Medical University, Chongqing, 400037, China. 247244526@qq.com","institution_ids":["https://openalex.org/I151075929","https://openalex.org/I87780372","https://openalex.org/I4210097509","https://openalex.org/I191996457"]},{"raw_affiliation_string":"Department of Medical Engineering, The Second Affiliated Hospital of the Army Medical University, Chongqing, 400037, China","institution_ids":["https://openalex.org/I151075929","https://openalex.org/I87780372","https://openalex.org/I4210097509","https://openalex.org/I191996457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017824100","display_name":"Kehong Chen","orcid":"https://orcid.org/0000-0003-2437-4309"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210092099","display_name":"Daping Hospital","ror":"https://ror.org/00fthae95","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092099"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kehong Chen","raw_affiliation_strings":["Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China. chenkehong@foxmail.com","State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Army Medical University, Chongqing, China. chenkehong@foxmail.com","State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Army Medical University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Daping Hospital, Army Medical University, Chongqing, 400042, China. chenkehong@foxmail.com","institution_ids":["https://openalex.org/I151075929","https://openalex.org/I4210092099"]},{"raw_affiliation_string":"State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Army Medical University, Chongqing, China. chenkehong@foxmail.com","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017824100","https://openalex.org/A5113220436"],"corresponding_institution_ids":["https://openalex.org/I151075929","https://openalex.org/I191996457","https://openalex.org/I4210092099","https://openalex.org/I4210097509","https://openalex.org/I87780372"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":3.4208,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93548062,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"24","issue":"1","first_page":"8","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10291","display_name":"Dialysis and Renal Disease Management","score":0.9377999901771545,"subfield":{"id":"https://openalex.org/subfields/2727","display_name":"Nephrology"},"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/T10291","display_name":"Dialysis and Renal Disease Management","score":0.9377999901771545,"subfield":{"id":"https://openalex.org/subfields/2727","display_name":"Nephrology"},"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/T12876","display_name":"Potassium and Related Disorders","score":0.009499999694526196,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10408","display_name":"Chronic Kidney Disease and Diabetes","score":0.00800000037997961,"subfield":{"id":"https://openalex.org/subfields/2727","display_name":"Nephrology"},"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/medicine","display_name":"Medicine","score":0.7262783050537109},{"id":"https://openalex.org/keywords/peritoneal-dialysis","display_name":"Peritoneal dialysis","score":0.6244174242019653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6121296882629395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.574408769607544},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5543884634971619},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5078373551368713},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.4637008607387543},{"id":"https://openalex.org/keywords/retrospective-cohort-study","display_name":"Retrospective cohort study","score":0.43156057596206665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42826515436172485},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3906401991844177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2634133994579315}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7262783050537109},{"id":"https://openalex.org/C2779056158","wikidata":"https://www.wikidata.org/wiki/Q1756474","display_name":"Peritoneal dialysis","level":2,"score":0.6244174242019653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6121296882629395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.574408769607544},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5543884634971619},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5078373551368713},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.4637008607387543},{"id":"https://openalex.org/C167135981","wikidata":"https://www.wikidata.org/wiki/Q2146302","display_name":"Retrospective cohort study","level":2,"score":0.43156057596206665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42826515436172485},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3906401991844177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2634133994579315},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":"D000069550","descriptor_name":"Machine Learning","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":"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":"D010530","descriptor_name":"Peritoneal Dialysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010530","descriptor_name":"Peritoneal Dialysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010530","descriptor_name":"Peritoneal Dialysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010530","descriptor_name":"Peritoneal Dialysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010530","descriptor_name":"Peritoneal Dialysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-023-02412-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02412-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02412-z","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:38166909","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38166909","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:pubmedcentral.nih.gov:10763100","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10763100","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10763100/pdf/12911_2023_Article_2412.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":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:21fe382ccf5b4b2a8262c61b9906151b","is_oa":true,"landing_page_url":"https://doaj.org/article/21fe382ccf5b4b2a8262c61b9906151b","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-023-02412-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02412-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02412-z","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":[{"id":"https://openalex.org/G7703938395","display_name":null,"funder_award_id":"82270768","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327639","display_name":"Centre Scientifique et Technique du B\u00e2timent","ror":"https://ror.org/02fsd1928"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390498866.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2080674760","https://openalex.org/W2093153046","https://openalex.org/W2097768141","https://openalex.org/W2139000831","https://openalex.org/W2167892023","https://openalex.org/W2170604558","https://openalex.org/W2469939151","https://openalex.org/W2567277964","https://openalex.org/W2597330433","https://openalex.org/W2772830167","https://openalex.org/W2798476254","https://openalex.org/W2885749774","https://openalex.org/W2954121635","https://openalex.org/W3005957464","https://openalex.org/W3022497564","https://openalex.org/W3033059592","https://openalex.org/W3139528122","https://openalex.org/W3157432902","https://openalex.org/W3158510841","https://openalex.org/W3182911226","https://openalex.org/W3183949861","https://openalex.org/W3186937202","https://openalex.org/W3200707343","https://openalex.org/W3210117437","https://openalex.org/W4200188790","https://openalex.org/W4200317067","https://openalex.org/W4225762045","https://openalex.org/W4283814285","https://openalex.org/W4298124093","https://openalex.org/W4321781651","https://openalex.org/W4323294643","https://openalex.org/W4323653400"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W4287027380","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W3193760048","https://openalex.org/W4285822516","https://openalex.org/W4386799044"],"abstract_inverted_index":{"BACKGROUND:":[0],"An":[1],"appropriate":[2],"prediction":[3,245],"model":[4,26,77,121,167,197,211,246],"for":[5,27,74,190],"adverse":[6,28],"prognosis":[7],"before":[8,253],"peritoneal":[9],"dialysis":[10],"(PD)":[11],"is":[12,123],"lacking.":[13],"Thus,":[14],"we":[15,90],"retrospectively":[16],"analysed":[17],"patients":[18,42,56,143,154],"who":[19,43,57],"underwent":[20,44],"PD":[21,45,146,254],"to":[22,49,117,125,148],"construct":[23],"a":[24,119,195],"predictive":[25,240],"prognoses":[29],"using":[30,80,101,230],"machine":[31],"learning":[32],"(ML).":[33],"METHODS:":[34],"A":[35,52],"retrospective":[36],"analysis":[37,233],"was":[38,188,228],"conducted":[39],"on":[40],"873":[41],"from":[46,145],"August":[47],"2007":[48],"December":[50],"2020.":[51],"total":[53],"of":[54,104,140,235],"824":[55],"met":[58],"the":[59,65,75,81,84,92,95,102,138,159,162,169,205,209,214,231,238],"inclusion":[60],"criteria":[61],"were":[62,72,115,131],"included":[63],"in":[64,133,250],"analysis.":[66,192],"Five":[67],"commonly":[68],"used":[69,73],"ML":[70],"algorithms":[71],"initial":[76],"training.":[78],"By":[79],"area":[82],"under":[83],"curve":[85],"(AUC)":[86],"and":[87,98,152,187,208,255],"accuracy":[88],"(ACC),":[89],"ranked":[91,203],"indicators":[93,114],"with":[94],"highest":[96],"impact":[97],"displayed":[99],"them":[100],"values":[103],"Shapley":[105],"additive":[106],"explanation":[107],"(SHAP)":[108],"version":[109],"0.41.0.":[110],"The":[111,224],"top":[112],"20":[113,200],"selected":[116,189],"build":[118],"compact":[120],"that":[122],"conducive":[124],"clinical":[126],"application.":[127],"All":[128],"model-building":[129],"steps":[130],"implemented":[132],"Python":[134],"3.8.3.":[135],"RESULTS:":[136],"At":[137],"end":[139],"follow-up,":[141],"353":[142],"withdrew":[144],"(converted":[147],"haemodialysis":[149],"or":[150],"died),":[151],"471":[153],"continued":[155],"receiving":[156],"PD.":[157,259],"In":[158],"complete":[160],"model,":[161,226],"categorical":[163],"boosting":[164],"classifier":[165],"(CatBoost)":[166],"exhibited":[168],"strongest":[170,215],"performance":[171,216],"(AUC":[172,217],"=":[173,179,185,218,221],"0.80,":[174],"95%":[175,183],"confidence":[176],"interval":[177],"[CI]":[178],"0.76-0.83;":[180],"ACC:":[181],"0.78,":[182],"CI":[184],"0.72-0.83)":[186],"subsequent":[191],"We":[193],"reconstructed":[194],"compression":[196],"by":[198,204],"extracting":[199],"key":[201],"features":[202],"SHAP":[206],"values,":[207],"CatBoost":[210,225],"still":[212],"showed":[213],"0.79,":[219],"ACC":[220],"0.74).":[222],"CONCLUSIONS:":[223],"which":[227],"built":[229],"intelligent":[232],"technology":[234],"ML,":[236],"demonstrated":[237],"best":[239],"performance.":[241],"Therefore,":[242],"our":[243],"developed":[244],"has":[247],"potential":[248],"value":[249],"patient":[251],"screening":[252],"hierarchical":[256],"management":[257],"after":[258]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}