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Logistic regression model for higher scores for fatigue.

NIAID Data Ecosystem2026-03-12 收录

疲劳评估预测

健康数据聚类

数据链接：

https://figshare.com/articles/dataset/Logistic_regression_model_for_higher_scores_for_fatigue_/13867254 数据链接链接失效反馈

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资源简介：

Logistic regression model for higher scores for fatigue.

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创建时间：

2021-02-10

多发性硬化症特征检测

健康数据聚类

Dataset and roof-of-concept method used for proceeding titled "Data Transformation for Clustering Utilization for Feature Detection in MS" of IWBBIO 22 conference.

NIAID Data Ecosystem100

Logistic regression model to assess the odds of reporting any injury, overuse/fatigue injury, or acute injury within the past 12 months.

运动损伤监测

健康数据聚类

Referent category was not reporting an injury.

NIAID Data Ecosystem50

Clustering and classification problems in genetics through U -statistics

健康数据聚类

遗传数据分类

Genetic data are frequently categorical and have complex dependence structures that are not always well understood. For this reason, clustering and classification based on genetic data, while highly r

Taylor & Francis Group2018-05-28 更新40

Daily and total subject-days in each setting-dominated cluster for clustering on PCH-interaction (left) and PCH-setting (right).

健康数据聚类

环境交互分析

Daily and total subject-days in each setting-dominated cluster for clustering on PCH-interaction (left) and PCH-setting (right).

NIAID Data Ecosystem90

Data_Sheet_2_Qluster: An easy-to-implement generic workflow for robust clustering of health data.docx

健康数据聚类

临床研究数据管理

The exploration of heath data by clustering algorithms allows to better describe the populations of interest by seeking the sub-profiles that compose it. This therefore reinforces medical knowledge, w

NIAID Data Ecosystem40

Logistic regression model for higher scores for fatigue.

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