MHAEC 2017 : CEC 2017 Special Session on Medical and HealthCare Applications of Evolutionary Computation
Call For Papers
CALL FOR PAPERS
Medical and HealthCare Applications of Evolutionary Computation
CEC 2017 Special Session
Donostia - San Sebastian, Spain
June 5-8, 2017
Evolutionary Computation methods are being more and more frequently used to face challenging problems in Medicine and HealthCare.
These methods can be of great help in finding good solutions to many practical medical and healthcare applications, as for example in tasks as disease screening, diagnosis, treatment planning, prognosis, imaging, signal processing, health care management and any other task related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection and data mining.
The Special Session aims to bring together international experts in evolutionary computation for the exchange of ideas across disciplines encouraging multidisciplinary research collaborations and the development of new concepts in the important and growing domain of Medical and HealthCare ICT, thus creating a forum of excellence on the use of evolutionary inspired methods to face medical and healthcare problems.
This increasing trend towards the use of Evolutionary Computation methods to face challenging medical and healthcare problems in the next years, not only will a Special Session on this topic be of immediate relevance, it will also provide a platform for encouraging implementations of evolutionary methods for solving problems in various medical and health care specialties.
Examples of relevant topics include, but are not limited to, applications of Evolutionary Algorithms to:
- Medical imaging: image analysis by detection, segmentation, registration, classification of pathological patterns on various imaging modalities including X-rays, magnetic resonance imaging (MRI), computer tomography (CT), etc.;
- Medical signal and data processing (analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), respiration, and so on; automated systems for detection of abnormal biomedical signals, detection of relevant biomedical patterns, multi-scale signal processing, ...)
- Clinical diagnosis and therapy: detection of relevant diagnostic parameters, regression models in diagnosing diseases, earlier diagnosis of disease, treatment schedule, management of chronic diseases, therapy planning, ...)
- Data inference, mining, and trend analysis (inference and modelling of physiological systems, data mining to discover new information, disease prediction, processing of large volumes of heterogeneous medical data, mining models of the patient, prediction of how diseases propagate ...)
- Modelling and simulation of medical processes (modelling of medical processes to avoid mistakes or to systematically improve decision making and practice, error, vulnerability, and inefficiencies detection, simulation of multi-agent concurrent activities, ...)
- Knowledge discovery and decision support (clinical decision support systems, automatic clinical diagnosis, ...)
- Computational Intelligence for chronic disease management (disease measure estimates, identification of symptoms, adaptation of medical devices to individual patients, ...)
- Healthcare modeling and simulation (physicians/patient support systems, population modelling systems, ...)
- Health information systems and convergence of health (healthcare delivery healthcare management, ...).
Accepted papers will appear in the proceedings of CEC, published by IEEE Press Society.
All the papers have to be submited electronically through the congress application site.
More detailed information, together with a more comprehensive list of application domains, is available at www.mhaec.icar.cnr.it and www.cec2017.org.
Submission deadline: January 16, 2017
Notification of acceptance: February 26, 2017
Deadline for final submission: March 12, 2017
Conference dates: June 5-8, 2017
Ivanoe De Falco
Antonio Della Cioppa
University of Salerno, ITALY