Practical use case of natural language processing for comprehensive atrial fibrillation cohort characterization from electronic health records in Poland.

Back

EHRA Premium Access

Practical use case of natural language processing for comprehensive atrial fibrillation cohort characterization from electronic health records in Poland.

Session: eCardiology 1

Topic: Big Data and Digital Twin

Speaker: Doctor C. Maciejewski (Warsaw, PL)

Event: EHRA 2024

Congress Presentation

Add to my library

About the speaker

Doctor Cezary Maciejewski

Medical University of Warsaw, Warsaw (Poland)

0 follower

8 more presentations in this session

Changes in public interest in sudden cardiac arrest: a big data analysis

Speaker: Doctor J. Han (Los Angeles, US)

Results of external validation for anatomical site recognition of ablation sites in atrial fibrillation using the CARTONET R12 model

Speaker: Assistant Professor W. sasaki (Hidaka, JP)

Artificial intelligence-estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablations

Speaker: Doctor H. Park (Seoul, KR)

Twelve-lead electrocardiography-based artificial intelligence predicts the upcoming future of patients with heart failure with mildly reduced ejection fraction

Speaker: Mr S. Lee (Incheon, KR)

Recognition of Brugada type 1 pattern on ECG by Echo State Networks

Speaker: Mr F. Vozzi (Pisa, IT)

Access the full session

eCardiology 1

Speakers: Doctor C. Maciejewski, Doctor J. Han, Assistant Professor W. sasaki, Doctor H. Park, Mr S. Lee...

Access

About the event

EHRA 2024

7 April - 9 April 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources