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资源简介：
Logistic regression models (outcome: AF).
应用场景：
创建时间：
2021-11-22
相关数据集
Spontaneous Termination of Atrial Fibrillation: The PhysioNet/Computing in Cardiology Challenge 2004
The fifth annual PhysioNet/Computers in Cardiology Challenge focusses on this question: Is it possible to predict if (or when) an episode of atrial fibrillation will end spontaneously?
PhysioNet60
Supplementary Material for: Additive predictive value of left ventricular end-diastolic volume index to the development of persistent atrial fibrillation in non-obstructive hypertrophic cardiomyopathy
Objective To evaluate the association between left ventricular diastolic volume index (LVEDVi) and the risk of persistent or long-standing persistent atrial fibrillation (perAF) in non-obstructive hyp
DataCite Commons2025-02-11 更新60
Newborn screening analytes included in predictive models.
Newborn screening analytes included in predictive models.
Figshare2022-11-28 更新40
Coefficients(coef) of significant variables for Symptom scale, Functional scale and Global health/Quality of Life (GH/QoL) post treatment in Logistic Regression model, a Generalized linear model (GLM) type.
Coefficients(coef) of significant variables for Symptom scale, Functional scale and Global health/Quality of Life (GH/QoL) post treatment in Logistic Regression model, a Generalized linear model (GLM)
NIAID Data Ecosystem60
Brief descriptions of the datasets.
The # Variables column gives the number of continuous (cnt) and discrete (dsc) predictor variables, as well as the total number of variables (which excludes the target variable). The target variables
Figshare2015-12-03 更新50
