{"id":"https://openalex.org/W2132886902","doi":"https://doi.org/10.1186/1472-6947-12-8","title":"Predicting sample size required for classification performance","display_name":"Predicting sample size required for classification performance","publication_year":2012,"publication_date":"2012-02-15","ids":{"openalex":"https://openalex.org/W2132886902","doi":"https://doi.org/10.1186/1472-6947-12-8","mag":"2132886902","pmid":"https://pubmed.ncbi.nlm.nih.gov/22336388"},"language":"en","primary_location":{"id":"doi:10.1186/1472-6947-12-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-8","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-8","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/10.1186/1472-6947-12-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091073936","display_name":"Rosa L. Figueroa","orcid":"https://orcid.org/0000-0002-2021-0203"},"institutions":[{"id":"https://openalex.org/I172787465","display_name":"University of Concepci\u00f3n","ror":"https://ror.org/0460jpj73","country_code":"CL","type":"education","lineage":["https://openalex.org/I172787465"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Rosa L Figueroa","raw_affiliation_strings":["Dep. Ing. El\u00e9ctrica, Facultad de Ingenier\u00eda, Universidad de Concepci\u00f3n, Concepci\u00f3n, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dep. Ing. El\u00e9ctrica, Facultad de Ingenier\u00eda, Universidad de Concepci\u00f3n, Concepci\u00f3n, Chile","institution_ids":["https://openalex.org/I172787465"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058747294","display_name":"Qing Zeng\u2010Treitler","orcid":"https://orcid.org/0000-0002-8353-7473"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Zeng-Treitler","raw_affiliation_strings":["Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA","Department of Biomedical Informatics, University of Utah, Salt Lake City, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, USA#TAB#","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071924787","display_name":"Sasikiran Kandula","orcid":"https://orcid.org/0000-0002-6248-9097"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sasikiran Kandula","raw_affiliation_strings":["Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA","Department of Biomedical Informatics, University of Utah, Salt Lake City, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, USA#TAB#","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087979959","display_name":"Long Ngo","orcid":"https://orcid.org/0000-0001-9349-7981"},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Long H Ngo","raw_affiliation_strings":["Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA","Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]},{"raw_affiliation_string":"Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":9.7303,"has_fulltext":true,"cited_by_count":517,"citation_normalized_percentile":{"value":0.9803733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"12","issue":"1","first_page":"8","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.5181000232696533,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.5181000232696533,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.058800000697374344,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.027499999850988388,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6317502856254578},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5472426414489746},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4941096603870392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48010993003845215},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.43637901544570923},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4253849387168884},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.41752195358276367},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.41452085971832275},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4141086935997009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3567608594894409},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35399329662323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3419581651687622},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33064383268356323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28023767471313477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317502856254578},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5472426414489746},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4941096603870392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48010993003845215},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.43637901544570923},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4253849387168884},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.41752195358276367},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.41452085971832275},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4141086935997009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3567608594894409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35399329662323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3419581651687622},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33064383268356323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28023767471313477},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"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":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","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":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011337","descriptor_name":"Probability Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011337","descriptor_name":"Probability Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011337","descriptor_name":"Probability Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018794","descriptor_name":"Problem-Based Learning","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018794","descriptor_name":"Problem-Based Learning","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018794","descriptor_name":"Problem-Based Learning","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059032","descriptor_name":"Learning Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059032","descriptor_name":"Learning Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059032","descriptor_name":"Learning Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1186/1472-6947-12-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-8","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-8","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:22336388","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22336388","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:dash.harvard.edu:1/8715714","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:8715714","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"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":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:10a3aa998e0f49fd958335fec7eb253f","is_oa":false,"landing_page_url":"https://doaj.org/article/10a3aa998e0f49fd958335fec7eb253f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 12, Iss 1, p 8 (2012)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3307431","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3307431","pdf_url":null,"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"}],"best_oa_location":{"id":"doi:10.1186/1472-6947-12-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1472-6947-12-8","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/1472-6947-12-8","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334812","display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica","ror":"https://ror.org/02ap3w078"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2132886902.pdf","grobid_xml":"https://content.openalex.org/works/W2132886902.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W627057610","https://openalex.org/W1576229127","https://openalex.org/W1614686989","https://openalex.org/W1845402413","https://openalex.org/W1969344592","https://openalex.org/W1986224264","https://openalex.org/W1992859205","https://openalex.org/W1994326354","https://openalex.org/W1995348800","https://openalex.org/W2008389680","https://openalex.org/W2021894617","https://openalex.org/W2036255459","https://openalex.org/W2039643849","https://openalex.org/W2049129660","https://openalex.org/W2049509720","https://openalex.org/W2063801052","https://openalex.org/W2065383075","https://openalex.org/W2065815834","https://openalex.org/W2084552861","https://openalex.org/W2087228724","https://openalex.org/W2092095117","https://openalex.org/W2096045149","https://openalex.org/W2097089247","https://openalex.org/W2106498117","https://openalex.org/W2117836260","https://openalex.org/W2120101931","https://openalex.org/W2121143232","https://openalex.org/W2122700918","https://openalex.org/W2125647201","https://openalex.org/W2134429390","https://openalex.org/W2139696210","https://openalex.org/W2149278931","https://openalex.org/W2155164874","https://openalex.org/W2165618135","https://openalex.org/W2165758480","https://openalex.org/W2169027522","https://openalex.org/W2216045586","https://openalex.org/W2328067344","https://openalex.org/W2414266537","https://openalex.org/W2622248957","https://openalex.org/W2912030431","https://openalex.org/W2913254968","https://openalex.org/W3214522154","https://openalex.org/W4233876876","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3121237257","https://openalex.org/W1967890210","https://openalex.org/W2075925377","https://openalex.org/W2156220498","https://openalex.org/W2162968378","https://openalex.org/W2280482922","https://openalex.org/W2287062289","https://openalex.org/W219060608","https://openalex.org/W1972621397","https://openalex.org/W4311458618"],"abstract_inverted_index":{"BACKGROUND:":[0],"Supervised":[1],"learning":[2,32,71,122,234],"methods":[3],"need":[4,37],"annotated":[5,44,77,188],"data":[6,177],"in":[7,243],"order":[8],"to":[9,25,38,47,66,96,118,186,190],"generate":[10],"efficient":[11],"models.":[12],"Annotated":[13],"data,":[14],"however,":[15],"is":[16,35,81,93],"a":[17,36,49,57,69,75,119,221],"relatively":[18],"scarce":[19],"resource":[20],"and":[21,30,55,101,128,134,138,164,179,194,223],"can":[22,247],"be":[23],"expensive":[24],"obtain.":[26],"For":[27,108],"both":[28],"passive":[29,135],"active":[31,133],"methods,":[33,137],"there":[34],"estimate":[39],"the":[40,43,98,110,165,171,176,210],"size":[41,226,253],"of":[42,68,121,145,159,233],"sample":[45,106,225,252],"required":[46],"reach":[48],"performance":[50,100],"target.":[51],"METHODS:":[52],"We":[53],"designed":[54],"implemented":[56],"method":[58,115,208,213],"that":[59,204,229],"fits":[60],"an":[61,152,239],"inverse":[62],"power":[63],"law":[64],"model":[65,92,166],"points":[67],"given":[70],"curve":[72,113],"created":[73],"using":[74,84,125,142],"small":[76],"training":[78],"set.":[79],"Fitting":[80],"carried":[82],"out":[83],"nonlinear":[85,111],"weighted":[86,112,206,231],"least":[87],"squares":[88],"optimization.":[89],"The":[90,236],"fitted":[91,163],"then":[94],"used":[95,151],"predict":[97],"classifier's":[99],"confidence":[102],"interval":[103],"for":[104,254],"larger":[105],"sizes.":[107],"evaluation,":[109],"fitting":[114,154,207,232],"was":[116],"applied":[117],"set":[120,178],"curves":[123],"generated":[124],"clinical":[126],"text":[127],"waveform":[129],"classification":[130],"tasks":[131],"with":[132,170],"sampling":[136,180],"predictions":[139,167],"were":[140,162,168],"validated":[141],"standard":[143],"goodness":[144],"fit":[146],"measures.":[147],"As":[148],"control":[149],"we":[150],"un-weighted":[153,212,240],"method.":[155],"RESULTS:":[156],"A":[157],"total":[158],"568":[160],"models":[161],"compared":[169],"observed":[172],"performances.":[173],"Depending":[174],"on":[175],"method,":[181],"it":[182],"took":[183],"between":[184],"80":[185],"560":[187],"samples":[189],"achieve":[191],"mean":[192,196],"average":[193],"root":[195],"squared":[197],"error":[198],"below":[199],"0.01.":[200],"Results":[201],"also":[202],"show":[203],"our":[205],"outperformed":[209,238],"baseline":[211],"(p":[214],"<":[215],"0.05).":[216],"CONCLUSIONS:":[217],"This":[218],"paper":[219],"describes":[220],"simple":[222],"effective":[224],"prediction":[227],"algorithm":[228,237,241],"conducts":[230],"curves.":[235],"described":[242],"previous":[244],"literature.":[245],"It":[246],"help":[248],"researchers":[249],"determine":[250],"annotation":[251],"supervised":[255],"machine":[256],"learning.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":53},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":75},{"year":2022,"cited_by_count":84},{"year":2021,"cited_by_count":72},{"year":2020,"cited_by_count":55},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}