DataMining 2014 - International workshop on Data Mining and Decision Analytics for Public Health and Wellness

The topics of interest include (but are not limited to) the following:
Biological and medical data collection, cleansing, and integration
Big biomedical data management, analysis, and prediction
Biological and medical data visualization
Bioimage analysis
Data pre-processing to handle noisy, missing biological and medical data
Knowledge representation and annotation of biological and medical data
Machine learning algorithms for biological and healthcare applications
Disease bioinformatics
Computational methods for drug discovery
Biological markers detection
Pharmacogenomics data mining and personalized medicine
Big data mining with high-throughput and next-generation sequencing technologies (DNA-seq, RNA-seq, ChIP-seq, etc.)
Analysis of complex disorders
Integration of biological and clinical data for translational research
Bioinformatics databases and resources
Text mining algorithms for biological and healthcare applications
Biological network analysis (protein interaction network, metabolic network, transcription factor network, signalling network, etc.)
Pattern analysis in computational genetics, genomics and proteomics
Semantic web and knowledge acquisition in biology and healthcare
Electronic health records and biomedical repositories