Related Experiment Video
Updated: Jun 1, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Ninety days to predict a year: a Bayesian journey into medication adherence post-myocardial infarction
Julien Magne1,2, Jeremy Jost1,3
1Inserm U1094, IRD UMR270, Univ. Limoges, EpiMaCT - Epidemiology of chronic diseases in tropical zone, OmegaHealth, Limoges, France.
No abstract available in PubMed .
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
04:05Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
Related Concept Videos
Heart Failure Drugs: β-Blockers
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Kaplan-Meier Approach
Heart Failure Drugs: Inhibitors of Renin-Angiotensin System
Antiarrhythmic Drugs: Class II Agents as β-Adrenergic Blockers
Antianginal Drugs: Calcium Channel Blockers and Ranolazine
CCBs, a diverse class that includes dihydropyridines (nifedipine) and diphenylalkylamines (verapamil and diltiazem), exert their effect by blocking calcium channels in cardiac and smooth muscle cells. This...