Results 141 to 150 of about 96,578 (258)

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

open access: yesEuropean Journal of Heart Failure, EarlyView.
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo   +11 more
wiley   +1 more source

Big data and machine learning to tackle diabetes management

open access: yesEuropean Journal of Clinical Investigation, Volume 53, Issue 1, January 2023., 2023
Abstract Background Type 2 Diabetes (T2D) diagnosis is based solely on glycaemia, even though it is an endpoint of numerous dysmetabolic pathways. Type 2 Diabetes complexity is challenging in a real‐world scenario; thus, dissecting T2D heterogeneity is a priority. Cluster analysis, which identifies natural clusters within multidimensional data based on
Ana F. Pina   +5 more
wiley   +1 more source

The risk of death according to left ventricular ejection fraction and right ventricular dilatation in 17 321 adults with heart failure from 40 high‐, middle‐ and low‐income countries – A Global Congestive Heart Failure (G‐CHF) study

open access: yesEuropean Journal of Heart Failure, EarlyView.
Abstract Aims The aim of this study was to describe the prognostic importance of left ventricular ejection fraction (LVEF) versus right ventricular (RV) dilatation and dysfunction in patients with heart failure (HF) from countries of different income levels. Methods and results We enrolled 17 321 participants with HF from 40 countries.
Darryl P. Leong   +16 more
wiley   +1 more source

Aldosterone Secretory Rates in the Normal Menstrual Cycle

open access: bronze, 1968
M. J. Gray   +4 more
openalex   +1 more source

The transcriptional profile of iron deficiency in patients with heart failure: Heme‐sparing and reduced immune processes

open access: yesEuropean Journal of Heart Failure, EarlyView.
The analysis workflow, findings and potential clinical consequences of iron deficiency in heart failure (HF). From 881 patients with worsening HF, whole blood transcriptome was analysed using the Affymetrix Human Transcriptome Array (HTA) 2.0. Subjects were stratified according to their transferrin saturation (TSAT) levels as iron‐deficient (TSAT <20%)
Niels Grote Beverborg   +17 more
wiley   +1 more source

Association of a remote monitoring programme with all‐cause mortality and hospitalizations in patients with heart failure: National‐scale, real‐world evidence from a 3‐year propensity score analysis of the TELESAT‐HF study

open access: yesEuropean Journal of Heart Failure, EarlyView.
Association of a remote monitoring programme (RMP) with all‐cause mortality and hospitalization in heart failure (HF) patients. COPD, chronic obstructive pulmonary oedema; HR, hazard ratio; ICU, intensive care unit; LTI, long‐term illness; RR, rate ratio; SoC, standard of care.
Nicolas Girerd   +12 more
wiley   +1 more source

Home - About - Disclaimer - Privacy