Screening the influence of features for metabolic syndrome in occupational population based on Lasso and Elastic Net algorithms

Back

ACVC Premium Access

Screening the influence of features for metabolic syndrome in occupational population based on Lasso and Elastic Net algorithms

Session: Risk factors, prevention, and pharmacotherapy

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor M. Wang (Hangzhou, CN)

Event: ESC Acute CardioVascular Care 2024

Congress Presentation

Add to my library

About the speaker

Doctor Mingwei Wang

Affiliated Hospital of Hangzhou Normal University, Hangzhou (China)

1 follower

6 more presentations in this session

Cardiac rehabilitation makes a difference: lipid control targets and prognosis.

Speaker: Mrs M. Lucas Garcia (Sevilla, Spain, ES)

Access

Abstract

Slides

The lipid profile of the young patient with ischemic heart disease. Do these patients meet the goals?

Speaker: Doctor M. Pelaz Sanchez (Seville, ES)

Access

Abstract

Slides

Prescription of lipid-lowering therapy, LDLc control, and risk of MACE in patients after ST-elevation myocardial infarction in Mexico

Speaker: Miss S. Hernandez Pastrana (Mexico City, MX)

Access

Abstract

Slides

Risk factors for intensive care admission in pediatric patients with COVID-19 - results of the German na-tionwide inpatient sample

Speaker: Doctor K. Keller (Mainz, DE)

Access

Abstract

Slides

Combining rivaroxaban with aspirin for peripheral artery disease: an in-depth systematic review and meta-analysis

Speaker: Doctor B. David (Global City, PH)

Access

Abstract

Slides

Access the full session

Risk factors, prevention, and pharmacotherapy

Speakers: Doctor M. Wang, Mrs M. Lucas Garcia, Doctor M. Pelaz Sanchez, Miss S. Hernandez Pastrana, Doctor K. Keller...

Access

About the event

ESC Acute CardioVascular Care 2024

8 March - 10 March 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources