المؤلفون: Hong Gan (2982528), Mengdie Li (7432913), Xiaorui Wang (237883), Qianhui Yang (1936726), Ying Tang (231843), Baolin Wang (523908), Kaiyong Liu (519124), Peng Zhu (277243), Shanshan Shao (283076), Fangbiao Tao (705105)

مصطلحات موضوعية: Psychiatry (incl. Psychotherapy), newlyweds, depressive symptoms, socioeconomic status matching, education matching, income matching

Relation: https://figshare.com/articles/dataset/Data_Sheet_1_Low_and_mismatched_socioeconomic_status_between_newlyweds_increased_their_risk_of_depressive_symptoms_A_multi-center_study_docx/21854490

الاتاحة: https://doi.org/10.3389/fpsyt.2022.1038061.s001

المؤلفون: Jialin Liu (1732168), Jinfa Wu (8786975), Siru Liu (8786972), Mengdie Li (7432913), Kunchang Hu (10099003), Ke Li (106849)

مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, mortality prediction model, XGBoost model rank, SVM, eXtreme Gradient Boosting, XGBoost model Purpose, AUROC, eICU Collaborative Research Database, AKI patients, RF, F 1 score, 7548 AKI patients, kidney injury, LR, performance, decision tree model, Conclusion XGBoot model

Relation: https://figshare.com/articles/figure/The_patients_selection_process_/13716301

الاتاحة: https://doi.org/10.1371/journal.pone.0246306.g001

المؤلفون: Jialin Liu (1732168), Jinfa Wu (8786975), Siru Liu (8786972), Mengdie Li (7432913), Kunchang Hu (10099003), Ke Li (106849)

مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, mortality prediction model, XGBoost model rank, SVM, eXtreme Gradient Boosting, XGBoost model Purpose, AUROC, eICU Collaborative Research Database, AKI patients, RF, F 1 score, 7548 AKI patients, kidney injury, LR, performance, decision tree model, Conclusion XGBoot model

Relation: https://figshare.com/articles/figure/The_ROC_curve_among_the_four_models_of_AKI_patients_/13716307

الاتاحة: https://doi.org/10.1371/journal.pone.0246306.g003

المؤلفون: Jialin Liu (1732168), Jinfa Wu (8786975), Siru Liu (8786972), Mengdie Li (7432913), Kunchang Hu (10099003), Ke Li (106849)

مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, mortality prediction model, XGBoost model rank, SVM, eXtreme Gradient Boosting, XGBoost model Purpose, AUROC, eICU Collaborative Research Database, AKI patients, RF, F 1 score, 7548 AKI patients, kidney injury, LR, performance, decision tree model, Conclusion XGBoot model

Relation: https://figshare.com/articles/dataset/All_predictor_variables_for_non-survivors_and_survivors_/13716316

الاتاحة: https://doi.org/10.1371/journal.pone.0246306.t003

المؤلفون: Jialin Liu (1732168), Jinfa Wu (8786975), Siru Liu (8786972), Mengdie Li (7432913), Kunchang Hu (10099003), Ke Li (106849)

مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, mortality prediction model, XGBoost model rank, SVM, eXtreme Gradient Boosting, XGBoost model Purpose, AUROC, eICU Collaborative Research Database, AKI patients, RF, F 1 score, 7548 AKI patients, kidney injury, LR, performance, decision tree model, Conclusion XGBoot model

Relation: https://figshare.com/articles/figure/The_weights_of_variables_importance_/13716304

الاتاحة: https://doi.org/10.1371/journal.pone.0246306.g002

المؤلفون: Jialin Liu (1732168), Jinfa Wu (8786975), Siru Liu (8786972), Mengdie Li (7432913), Kunchang Hu (10099003), Ke Li (106849)

مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, mortality prediction model, XGBoost model rank, SVM, eXtreme Gradient Boosting, XGBoost model Purpose, AUROC, eICU Collaborative Research Database, AKI patients, RF, F 1 score, 7548 AKI patients, kidney injury, LR, performance, decision tree model, Conclusion XGBoot model

Relation: https://figshare.com/articles/dataset/Advantages_and_disadvantages_of_each_models_/13716310

الاتاحة: https://doi.org/10.1371/journal.pone.0246306.t001

المؤلفون: Jialin Liu (1732168), Jinfa Wu (8786975), Siru Liu (8786972), Mengdie Li (7432913), Kunchang Hu (10099003), Ke Li (106849)

مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, mortality prediction model, XGBoost model rank, SVM, eXtreme Gradient Boosting, XGBoost model Purpose, AUROC, eICU Collaborative Research Database, AKI patients, RF, F 1 score, 7548 AKI patients, kidney injury, LR, performance, decision tree model, Conclusion XGBoot model

Relation: https://figshare.com/articles/dataset/Demographics_of_patients_with_AKI_/13716313

الاتاحة: https://doi.org/10.1371/journal.pone.0246306.t002

المؤلفون: Jialin Liu (1732168), Jinfa Wu (8786975), Siru Liu (8786972), Mengdie Li (7432913), Kunchang Hu (10099003), Ke Li (106849)

مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, mortality prediction model, XGBoost model rank, SVM, eXtreme Gradient Boosting, XGBoost model Purpose, AUROC, eICU Collaborative Research Database, AKI patients, RF, F 1 score, 7548 AKI patients, kidney injury, LR, performance, decision tree model, Conclusion XGBoot model

Relation: https://figshare.com/articles/dataset/Comparison_of_mortality_prediction_performance_among_the_four_models_of_AKI_patients_/13716319

الاتاحة: https://doi.org/10.1371/journal.pone.0246306.t004