MLRH 2018 - Special Session on How machine learning is revolutionising healthcare

Organizers:
Dr. Kostas Chrisagis , City University London, United Kingdom
Dr. Serafeim Moustakidis , Center for Research and Technology Hellas
Description:
The proliferation of massive and heterogeneous health-related data brings with it a series of special challenges enabling at the same time opportunities for improving healthcare. Clinicians and health experts are overwhelmed by the volume, velocity and variety of the available data including medical imagery, data from wearable sensors, electronic health records, genomic data, behavioral and environmental data. The increased availability of data and computational power has led to a resurgence of machine learning leading the efforts to transform the vast amount of complex health-related data into actionable knowledge. Machine learning and deep learning are now attempting to revolutionize the whole healthcare sector by improving diagnostics, predicting outcomes, and changing the way doctors think about providing care. Reflecting this excitement, this special session aims to identify opportunities and challenges of the growing intersection of machine learning and health.
Topics of interest include but are not limited to:
Imaging related decision making and computer-aided diagnosis
Multi-modal Clinical Decision Support
Machine learning / deep learning for medical image analysis
Early detection and diagnosis of diseases
Big data analytics in healthcare
Data mining with interpretable models
Enhanced imaging diagnostics
Behavioral analysis with wearables
Variable selection over high dimensional heath related data
Personalized diagnosis and treatment
Drug Discovery using unsupervised learning
Computational Methods in Molecular Biology