CICHW 2014 - Special Session on "Computational Intelligence Challenges for Health & Wellbeing"

Computational intelligence methods have a central role in several new developments in healthcare. These developments include computer decision support for clinicians, modelling complex systems in virtual physiological models, early warning systems for out of hospital monitoring, systems biology for personalised medicine, mapping influence pathways in behavioural modelling from movement tracking to mental health, and extend also to sustainable aging in place and association modelling of health-profiles for public health commissioning. These themes span a wide range from molecular modelling, through personal monitoring, to large-scale populations, so each has very specific practical requirements. However, they also share methodological principles. This session is about targeted applications to health & wellbeing and the current methodological developments necessary to meet defined practical needs.
Topics of this session include but are not limited to:
Sensory and behavioural modelling including identification of driving signals/sources
Latent variable models and their application to visualise complex data
Scalable graphical and probabilistic models
Generative models for the analysis of multimodal data
Interpretation and sparseness of analytical non-linear models
Data understanding, feature selection and rule extraction
Validation of data-based knowledge discovery with expert knowledge
Visualisation of high-dimensional data
Mining of signals and data streams
Process mining with health-based case studies
Organisers:
P. Lisboa, F. Masulli, J. Martín-Guerrero, S. Ortega-Martorell and A. Vellido
Important Dates
Paper submission: 15 June 2014, Midnight GMT
Decision: 05 Sept 2014
Final submission: 05 Oct 2014
Early Registration: 05 Oct 2014