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Cutaneous Malignant Melanoma: Accurate and Convenient Model for Predicting Prognosis

Name: Cutaneous Malignant Melanoma: Accurate and Convenient Model for Predicting Prognosis
Creator: Huiwei Wang
Published: 2026-04-09T12:25:50+08:00

Mendeley Data2026-04-09 收录

皮肤癌预后

临床预测模型

数据链接：

https://data.mendeley.com/datasets/r968rby359 数据链接链接失效反馈

官方服务：

资源简介：

DynNom of the predictive nomogram model

应用场景：

提供机构：

Huiwei Wang

肺功能评估

临床预测模型

Multivariable logistic regression analyses for lowest quartile of FVC% predicted.

NIAID Data Ecosystem60

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

Stroke Risk Dataset

卒中风险评估

临床预测模型

Predict stroke using key health indicators and patient data

kaggle2026-04-02 更新00

Supplementary Material for: A MARKED EOSINOPHILIC INFILTRATION IN MUCOSA COULD BE A BETTER PREDICTIVE FACTOR FOR INTRACTABLE NON-ESOPHAGEAL EOSINOPHILIC GASTROINTESTINAL DISORDERS.

嗜酸性粒细胞性胃肠道疾病

临床预测模型

Introduction：Non-esophageal eosinophilic gastrointestinal disorders (non-EoE EGIDs) are rare, but their prevalence has recently increased. Although it has been reported that one-half of patients with

Figshare2023-04-21 更新40

Diagnostic accuracy of CPS and external validation at various score cut-off points.

临床预测模型

准确性评估

Diagnostic accuracy of CPS and external validation at various score cut-off points.

NIAID Data Ecosystem10