Work

Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI: 10.1109/bibm62325.2024.10822397

Authors: Turkay Kart, Mohanad Alkhodari, Winok Lapidaire, Abhirup Banerjee, Adam J. Lewandowski, Paul Leeson

Institution: University of Oxford

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: British Heart Foundation, Royal Society, Medical Research Council, HORIZON EUROPE Health

Award: G4453171451

OpenAlex ID: W4406261830

FWCI: 1.45

Cites: 24

Cited by: 3

Related to: 10