School of Mathematical Sciences

Leveraging Multiple Modalities of Healthcare Data for Enhanced Data Learning

Date(s)
Wednesday 26th June 2024 (15:00-16:00)
Contact
Event Convenor Contact: Anne.Canning1@nottingham.ac.uk
Description
Speaker's Name: Dr Rossella Arcucci
Speaker's Affiliation: Imperial College London
Speaker's Research Theme(s): CMMB,Applied Mathematics
Abstract:
Combining datasets from various sources to address data scarcity in medical machine learning models presents a promising solution. However, the complexity of integrating diverse data types and accounting for errors remains a significant challenge. Integrating various types of healthcare data through advanced data learning models can significantly enhance medical machine learning models' performance. While challenges in data integration and error management persist, employing robust pre-processing, feature extraction, and multimodal techniques can lead to improved insights and decision-making in healthcare. This approaches ultimately aims to provide better patient outcomes and support clinicians with data-driven tools.
Organised by BIOREME
Venue: Online
Online Conference Link: https://zoom.us/j/93869587160

School of Mathematical Sciences

The University of Nottingham
University Park
Nottingham, NG7 2RD

For all enquiries please visit:
www.nottingham.ac.uk/enquire