DANTH 2013 - The First International Workshop on Data Analytics for Targeted Healthcare

To succeed in transforming healthcare, many countries are moving to more targeted healthcare than ever. Successful migration must encourage innovation, provide access to more complete patient information and incorporate advanced clinical knowledge into clinical decision-making. Aiming at successfully transforming healthcare, some interdependent challenges need to be overcome, such as prevalence of tightly coupled applications and data; inadequate data and knowledge standards; insufficient analytics capabilities; unsatisfactory security and privacy methodologies; absence of a clinical decision-making foundation. Knowledge discovery and data mining techniques, especially data analytics, have been proven holding much promise for solving these problems. Providers can use health care data analytics to learn about patient populations, enhance preventive care and drive business decisions by accessing key data such as demographics and chronic conditions. Therefore, nowadays the healthcare industry requires a much more open, robust health information technology environment than ever existed, especially the techniques and methodologies in knowledge discovery and data mining.
Targeting on these interesting questions, the First International Workshop on Data Analytics for Targeted Healthcare (DATH 2012) focuses on how data analytics can improve information management in healthcare. The workshop will bring together researchers from different countries and regions to foster dissemination, increase the share of knowledge cross different domains, and strengthen the research on data analytic techniques and related applications to healthcare problems.
TOPICS AND AREAS INCLUDE, BUT NOT LIMITED TO
-Healthcare Management Systems
-Databases and Data Management
-Data mining, knowledge discovery, decision making support
-Pattern recognition, Sequence Analysis, and Machine Learning
-System interoperability, ontology and standardisation
-Bioinformatics
-Brain informatics
-Medical Image Analysis and Processing
-Neural Networks
-Medical Signal Acquisition, Analysis and Processing
-Telemedicine
-Semantic Interoperability
-Health information visualisation
-Computational Molecular Systems
-Support tools and languages for health information-system development
-Medical Data Collection and Processing
-Human-Machine Interface / Ambient Intelligence
-Modelling of Physical and Conceptual Information
-User Profiles and Personalised Healthcare
-Social, Privacy, and Security Issues in Healthcare
-Evaluation and use of Healthcare IT
-Software Systems in Medicine
-Pervasive Health Systems and Services
-Practice-based Research Methods for Healthcare IT
-Web Services in Bioinformatics
-Fuzzy Systems and Signals
-Infodemiology, public health surveillance