Work

Utilizing unsupervised machine learning to uncover novel phenogroups within the broad QRS complex

Year: 2024

Type: article

Source: European Heart Journal

DOI: 10.1093/eurheartj/ehae666.333

Authors: M Gurnani, A Sau, K Patlatzoglou, J Barker, L Pastika, N S Peters, D B Kramer, J W Waks, F S Ng

Institutions: Imperial College London, Beth Israel Deaconess Medical Center, Harvard University

Language: English

Topic: Cardiac electrophysiology and arrhythmias

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4403808564

FWCI:

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