Work

A Computationally Efficient Deep Learning-Based Surrogate Model of Prediabetes Progression

Year: 2024

Type: conference-paper

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

DOI: 10.1109/bibm62325.2024.10822298

Authors: Lea Multerer, Stefano Toniolo, Sandra Mitrović, Maria Concetta Palumbo, Alessandro Ravoni, Paolo Tieri, Marco Forgione, Laura Azzimonti

Institutions: Dalle Molle Institute for Artificial Intelligence Research, National Research Council

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4406261847

FWCI: 0.294

Cites: 27

Cited by: 1

Related to: 10