Back
Open Access

Machine learning-based phenogrouping for clinical outcomes and treatment response in patients with chronic heart failure

Session: Pathophysioloy and prognosis on heart failure
Topic: Epidemiology, Prognosis, Outcome
Speaker: Doctor M. Nakao (Sapporo, JP)
Event: Heart Failure 2025

Congress Presentation

Add to my library

Like

About the speaker

Doctor Motoki Nakao

Hokkaido University, Sapporo (Japan)
0 follower

4 more presentations in this session

Comparative characteristics of patients with and without transthyretin amyloid cardiomyopathy in the TTRACK study population

Speaker: Professor F. Cappelli (Florence, IT)

Access
Abstract
Like
Thumbnail

Effect of paracetamol on cardiovascular outcomes in patients with heart failure: a multi-center cohort study

Speaker: Doctor Q. Ren (Hong Kong, HK)

Access
Abstract
Like
Thumbnail

A retrospective description of the real-world evidence about the burden of patients with cardiac transthyretin amyloidosis in Italy

Speaker: Doctor A. Maggioni (Florence, IT)

Access
Abstract
Like
Thumbnail

The neutrophil to lymphocyte ratio (NRL) as a predictor of nutritional status in patients with heart failure with reduced ejection fraction

Speaker: Miss M. Cierzniak (Poznan, PL)

Access
Abstract
Like
Thumbnail

Access the full session

Pathophysioloy and prognosis on heart failure

Speakers: Doctor M. Nakao, Professor F. Cappelli, Doctor Q. Ren, Doctor A. Maggioni, Miss M. Cierzniak
Access
Like
Thumbnail

About the event

Image

Heart Failure 2025

17 May - 20 May 2025

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

logo Bristol Myers Squibb Explore sponsored resources
logo Novartis Explore sponsored resources
logo Novo Nordisk Explore sponsored resources