Back

Prediction of heart failure readmission risk based on survival machine learning: a prospective cohort study integrating novel wearable cardiac acoustic multimodal parameters and clinical indicators

29 August 2026 (13:15 - 14:00)
Organised by: Logo
Congress Presentation Part of: Heart failure: integrating inflammation and machine learning Epidemiology, Prognosis, Outcome ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Doctor Chao Yu

Second Affiliated Hospital of Nanchang University, Nanchang (China)

5 More presentations in this session

Presentation thumbnail
Left atrioventricular coupling and myocardial scar burden predict mortality after hospitalization for congestive heart failure, regardless of left ventricular ejection fraction.
Professor J. Hulot (Paris, FR)
Abstract
Presentation thumbnail
Systemic inflammation, statin therapy, and clinical outcomes in heart failure: a territory-wide population-based cohort study
Doctor A. Cai (Guangzhou, CN)
Abstract
Presentation thumbnail
Traditional cardiovascular risk factors and guideline-directed medical therapy profile in ACHD living with HFrEF. a national referral centre study.
Doctor A. Jordan (Mexico City, MX)
Abstract
Presentation thumbnail
Clinical signs of congestion in heart failure across the range of ejection fraction: insights from contemporary randomised trials
Doctor A. Olesen (Copenhagen, DK)
Abstract
Presentation thumbnail
The association of “INEEDHELP” and prognosis of patients with heart failure with reduced ejection fraction (HFrEF)
Doctor T. Osotthanakorn (Phitsanulok, TH)
Abstract

Access the full session

Session thumbnail
Heart failure: integrating inflammation and machine learning

The Event

Event poster

ESC Congress 2026

29 August 2026 13:15 CET
You may be interested in
thumbnail
Congress Presentation
What drives success in models predicting heart failure outcome?
28 August 2020
thumbnail
Congress Presentation
Readmissions in heart failure patients: a portuguese administrative database study from 2008 to 2017
29 June 2021
thumbnail
Congress Presentation
Voice-based remote monitoring for the early detection of adverse events in chronic heart failure: rationale and design of the TIM-HF3 voice substudy
22 November 2025
thumbnail
Congress Presentation
Integration of echocardiographic and biomarker parameters for functional stratification and risk prediction in HFpEF patients
13 December 2025

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources