MLAHI 2013 - Workshop on Machine Learning and Applications in Health Informatics

The advancement of technology and computational science has influenced a wide range of fields, including clinical research leading to health informatics as an emerging vital research area, which is attracting more attention in academia and industry. Health Informatics combines computational science and the clinical world to help improve the treatment of patients. Specifically, health informatics deals with resources, devices, and methodologies required for optimizing the acquisition, storage, maintenance, retrieval, and use of healthcare information and resources for effective diagnosis and treatment of patients.
The goal of this research track is to bring together professionals, researchers, and practitioners in the area of health informatics to present, discuss, and share the latest findings in the field, and exchange ideas that address real-world problems with real-world solutions.
Topics covered by ICMLA-HI 2013 include but are not limited to work in progress as well as cutting-edge and novel findings on the latest trends and developments in Health Informatics, including areas such as:
Big data analytics and health informatics
Clinical and hospital human resource management and performance analysis
Computer aided diagnosis and control
Computational biomedicine, genomics, proteomics, transcriptomics, metabolimics and sociogenomics
Controlled and optimized utilization of resources
Data analysis and disease biomarker prediction
Data mining and machine learning techniques in health informatics
Drug design and patient response
e-health and web-based information services
Evaluation and use of information technology in healthcare
Healthcare applications of mobile and pervasive technologies
Human-computer interaction
Future developments in technologies and applications
Intelligent health information systems and decision support systems
Integration and sharing of heterogeneous health information systems and data sources
Information and image retrieval
Language parsing methods in biomedicine
Modeling, simulation, and evaluation of healthcare services
Mobile solutions for sharing information in healthcare services
Patient tracking and monitoring: spatio-temporal models
Privacy protection and data security in health informatics systems
Process management and collaborative work
Reuse in Health Information System development and maintenance
Signal processing and streaming databases
Applications to epidemiology
Social network modeling and analysis in health informatics
User interfaces and visualization for health informatics systems
Issues arising from data scalability
Design of clinical trials and clinical outlier detection