Daniele Soria

Lecturer

University of Kent

United Kingdom

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Dr. Daniele Soria is a Lecturer at the University of Kent, UK. His research areas include neurophysiology, data science applications in healthcare, and the use of machine learning and expert systems in clinical urology. His recent articles examine attentional habituation to visual stimuli, prediction of patient susceptibility to radiotherapy side effects, and frameworks for interpretability in hierarchical fuzzy systems.

Articles (4)

Year:

2025

Year:

2021

Year:

2021

Year:

2021

Collaborators (5)

Amir Pourabdollah

Senior Lecturer

University of Nottingham

UNITED KINGDOM

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Thierry Chaussalet

Professor

University of Westminster

UNITED KINGDOM

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Christian Wagner

Professor of Computer Science

University of Nottingham

UNITED KINGDOM

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Amir Awwad

UNITED KINGDOM

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Robert Lyon

Senior Lecturer

Liverpool John Moores University

UNITED KINGDOM

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Daniele Soria

Research Interests

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Articles (4)

Examining the Neurophysiology of Attentional Habituation to Repeated Presentations of Food and Non-Food Visual Stimuli

Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems—A Participatory Design Approach

A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy

A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology

Collaborators (5)

Amir Pourabdollah

Thierry Chaussalet

Christian Wagner

Amir Awwad

Robert Lyon

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