Single-Patient XGBoost Regression model hyperparameters.

Figshare2025-08-07 更新2026-04-28 收录

个体化预测

梯度提升建模

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https://figshare.com/articles/dataset/Single-Patient_XGBoost_Regression_model_hyperparameters_/29855930 数据链接链接失效反馈

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Single-Patient XGBoost Regression model hyperparameters.

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2025-08-07

Data_Sheet_2_Toward individualized medicine in stroke—The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke.docx

中风康复神经机制

个体化预测

Despite recent improvements, complete motor recovery occurs in <15% of stroke patients. To improve the therapeutic outcomes, there is a strong need to tailor treatments to each individual patient. How

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微生物组机器学习

个体化预测

The number of microbiome-related studies has notably increased the availability of data on human microbiome composition and function. These studies provide the essential material to deeply explore hos

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XGBoost models precision, recall, f1-score and accuracy metrics by different predictive variables sets.

机器学习模型评估

梯度提升建模

XGBoost models precision, recall, f1-score and accuracy metrics by different predictive variables sets.

Figshare2022-08-11 更新30

Additional file 2 of Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer

个体化预测

统计建模

Material to provide individual dynamic predictions using Stan. Simulated data, R and Stan codes to draw in the a posteriori distribution of the individual parameters, as well as a README document. (RA

DataCite Commons2025-04-01 更新60

Multiple Imputation Through XGBoost

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梯度提升建模

The use of multiple imputation (MI) is becoming increasingly popular for addressing missing data. Although some conventional MI approaches have been well studied and have shown empirical validity, the

NIAID Data Ecosystem40

Single-Patient XGBoost Regression model hyperparameters.

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