Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

In order to solve the problem of chronic heart failure risk prediction in the elderly, a logistic regression modeling framework with Bayesian method was proposed, aiming to solve the problem of ...

Binomial logistic regression, where the outcome is binary (e.g. death, yes/no) is often simply referred to as logistic regression and will be the focus of this article. For example, a team of medical ...

Accuracy, Precision, and F1 Score. Data practitioners can use the numbers derived from a confusion matrix to calculate their logistic regression models’ accuracy, recall, and F1 score.

Results: Ten independent risk factors for respiratory failure in patients with sepsis were included in the final logistic model. The AUC values of the prediction model in the modeling population and ...

Heart failure subtypes and genotype associations (n=7801)Numbers represent p values from the logistic regression of polygenic risk score or single nucleotide polymorphism versus cluster output.

Akkaya used logistic regression and the k-NN algorithm to estimate heart failure and accomplished compromising outcomes [13]. With the adoption of Random Forest, the best accuracy of 82.18% has been ...