Development, validation and prospective clinical implementation of a machine learning algorithm for incident cardio-renal-metabolic diseases and cardiovascular death: the OPTIMISE study.

25 April 2024 (14:12 - 14:24)

Organised by:

Video

Sign in to view the resources

Abstract

Slides

About the speaker

Doctor Ramesh Nadarajah

Leeds General Infirmary, Leeds (United Kingdom of Great Britain & Northern Ireland)

4 More presentations in this session

Presentation thumbnail

Early insulin resistance in low-risk subjects with normal glycemia is associated with subclinical atherosclerosis

Doctor J. Iglesies-Grau (Montreal, CA)

Abstract Slides Video

Presentation thumbnail

Cholesterol paradox in atrial fibrillation: is it solved in lipid-lowering drugs users?

Doctor B. Bartos (Olsztyn, PL)

Abstract Slides Video

Presentation thumbnail

Comparative effectiveness of non-pharmacological interventions on metabolic syndrome and its components: a systematic review and network meta-analysis

Ms B. Chan (Hong Kong, HK)

Abstract Slides Video

Presentation thumbnail

Higher inflammatory cytokines in long-covid with cardiovascular symptoms after acute severe COVID-19? A two-year, pre-vaccine, longitudinal, exploratory, nested cohort.

Doctor C. Luz Goulart (Porto Alegre, BR)

Abstract Slides Video

Access the full session

Session thumbnail

Young Investigator Award - Primary Care & Risk Factor Management

The Event

Event poster

ESC Preventive Cardiology 2024

25 April 2024 14:12 CET

You may be interested in

Congress Presentation

Machine learning identifies individuals at higher risk of incident cardio-renal-metabolic diseases and cardiovascular death who have unrealised opportunities to reduce future cardiovascular risk

Congress Session

Late-Breaking Clinical Trials: artificial intelligence in cardiology

Congress Session

Using big data to drive cardiovascular innovations

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources