Decision curve analysis for predictive models.
<p>Note: (A) Training set; (B) Testing set. Net benefit (Y-axis) calculated against two extreme scenarios: “treat all” (red dashed) and “treat none” (black dashed).</p>
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2025
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| _version_ | 1852016214928261120 |
|---|---|
| author | Xie Qiu (13243770) |
| author2 | Shuo Hu (2270659) Shumin Dong (228797) Haijun Sun (2487766) |
| author2_role | author author author |
| author_facet | Xie Qiu (13243770) Shuo Hu (2270659) Shumin Dong (228797) Haijun Sun (2487766) |
| author_role | author |
| dc.creator.none.fl_str_mv | Xie Qiu (13243770) Shuo Hu (2270659) Shumin Dong (228797) Haijun Sun (2487766) |
| dc.date.none.fl_str_mv | 2025-09-26T17:42:26Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0333413.g006 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Decision_curve_analysis_for_predictive_models_/30222196 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Cell Biology Biotechnology Developmental Biology Cancer Mathematical Sciences not elsewhere classified whale optimization algorithm sucking leech optimizer preoperative leukocyte count postoperative pulmonary complications offering actionable guidance decision curve analysis body mass index assisted thoracic surgery ant lion optimizer 8 &# 8211 3 &# 8211 2022 &# 8211 svm ), xgboost patients undergoing video intraoperative blood loss automated machine learning based predictive model evaluated using auc model achieved roc automl model compared based learning model performance improved blood hho ), xlink "> training set surgical variables study establishes reactive protein nsclc patients logistic regression dca ). crp ). clinical parameters auc values |
| dc.title.none.fl_str_mv | Decision curve analysis for predictive models. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Note: (A) Training set; (B) Testing set. Net benefit (Y-axis) calculated against two extreme scenarios: “treat all” (red dashed) and “treat none” (black dashed).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_df7ab1ba7ebb8a1bf79240ae07c8a09d |
| identifier_str_mv | 10.1371/journal.pone.0333413.g006 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30222196 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Decision curve analysis for predictive models.Xie Qiu (13243770)Shuo Hu (2270659)Shumin Dong (228797)Haijun Sun (2487766)MedicineCell BiologyBiotechnologyDevelopmental BiologyCancerMathematical Sciences not elsewhere classifiedwhale optimization algorithmsucking leech optimizerpreoperative leukocyte countpostoperative pulmonary complicationsoffering actionable guidancedecision curve analysisbody mass indexassisted thoracic surgeryant lion optimizer8 &# 82113 &# 82112022 &# 8211svm ), xgboostpatients undergoing videointraoperative blood lossautomated machine learningbased predictive modelevaluated using aucmodel achieved rocautoml model comparedbased learningmodel performanceimproved bloodhho ),xlink ">training setsurgical variablesstudy establishesreactive proteinnsclc patientslogistic regressiondca ).crp ).clinical parametersauc values<p>Note: (A) Training set; (B) Testing set. Net benefit (Y-axis) calculated against two extreme scenarios: “treat all” (red dashed) and “treat none” (black dashed).</p>2025-09-26T17:42:26ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0333413.g006https://figshare.com/articles/figure/Decision_curve_analysis_for_predictive_models_/30222196CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/302221962025-09-26T17:42:26Z |
| spellingShingle | Decision curve analysis for predictive models. Xie Qiu (13243770) Medicine Cell Biology Biotechnology Developmental Biology Cancer Mathematical Sciences not elsewhere classified whale optimization algorithm sucking leech optimizer preoperative leukocyte count postoperative pulmonary complications offering actionable guidance decision curve analysis body mass index assisted thoracic surgery ant lion optimizer 8 &# 8211 3 &# 8211 2022 &# 8211 svm ), xgboost patients undergoing video intraoperative blood loss automated machine learning based predictive model evaluated using auc model achieved roc automl model compared based learning model performance improved blood hho ), xlink "> training set surgical variables study establishes reactive protein nsclc patients logistic regression dca ). crp ). clinical parameters auc values |
| status_str | publishedVersion |
| title | Decision curve analysis for predictive models. |
| title_full | Decision curve analysis for predictive models. |
| title_fullStr | Decision curve analysis for predictive models. |
| title_full_unstemmed | Decision curve analysis for predictive models. |
| title_short | Decision curve analysis for predictive models. |
| title_sort | Decision curve analysis for predictive models. |
| topic | Medicine Cell Biology Biotechnology Developmental Biology Cancer Mathematical Sciences not elsewhere classified whale optimization algorithm sucking leech optimizer preoperative leukocyte count postoperative pulmonary complications offering actionable guidance decision curve analysis body mass index assisted thoracic surgery ant lion optimizer 8 &# 8211 3 &# 8211 2022 &# 8211 svm ), xgboost patients undergoing video intraoperative blood loss automated machine learning based predictive model evaluated using auc model achieved roc automl model compared based learning model performance improved blood hho ), xlink "> training set surgical variables study establishes reactive protein nsclc patients logistic regression dca ). crp ). clinical parameters auc values |