AUCs of Cr, TBil and combined value as predictors of all-cause death.

Figshare2023-11-16 更新2026-04-28 收录

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AUCs of Cr, TBil and combined value as predictors of all-cause death.

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2023-11-16

Table_1_Mining of immunological and prognostic-related biomarker for cervical cancer based on immune cell signatures.xlsx

肿瘤免疫微环境分析

预后生物标志物评估

BackgroundImmunotherapy has changed the therapeutic landscape of cervical cancer (CC), but has durable anti-tumor activity only in a subset of patients. This study aims to comprehensively analyze the

NIAID Data Ecosystem50

Adjusted factors associated with indicators of kidney damage.

肾脏损伤风险因素

临床预测模型

afactors included in multivariate logistic regression were: age(change by 10 years), female, diabetes, hypertension, history of CKD, history of CVD, current smoking, hyperuricemia(>422 µmol/L for men,

Figshare2015-12-02 更新30

Multivariate logistic regression analysis to predict the development of Graves’ disease (GD).

Graves病

临床预测模型

Multivariate logistic regression analysis to predict the development of Graves’ disease (GD).

Figshare2017-09-30 更新10

Table_1_Artificial Intelligence Predicts Severity of COVID-19 Based on Correlation of Exaggerated Monocyte Activation, Excessive Organ Damage and Hyperinflammatory Syndrome: A Prospective Clinical Study.pdf

临床预测模型

症状严重程度评估

BackgroundPrediction of the severity of COVID-19 at its onset is important for providing adequate and timely management to reduce mortality. ObjectiveTo study the prognostic value of damage parameters

NIAID Data Ecosystem30

Novel insights into predicting the presence of micropapillary and solid components in stage IA lung adenocarcinoma using machine learning models of modifiable risk factors

肺腺癌病理亚型预测

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Lung adenocarcinoma (LUAC) patients with micropapillary (MP) and/or solid (S) generally demonstrate a poorer survival prognosis. In the diagnosis and treatment of stage IA LUAC, precisely establishing

Taylor & Francis Group2025-12-21 更新20

AUCs of Cr, TBil and combined value as predictors of all-cause death.

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