BDM2I 2015 - International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs (BDM2I 2015)

The amount of biomedical data has been increasing dramatically. First of all, there exists many structured datasets, such as DrugBank, DailyMed, Diseasome, SIDER, LinkedCT, just to name a few; however, often times such data are in silos and are not interlinked, thus preventing end users (e.g., researchers, clinicians, engineers, government agencies, and so on) from effectively utilizing such published data. Second, although the amount of structured data is growing, a large amount of information still lies hidden in unstructured data, especially for the biomedical and chemical engineering fields that are responsible for developing and commercializing medical products, including clinical notes, laboratory reports, medical literature, as well as in the ever increasing amount of social media data. To be able to mine valuable information from free text data, and to further integrate such extracted information to existing structured data will enable researchers and professionals to more effectively tackle their research problems from a more holistic perspective. Finally, the mined and integrated data is expected to enable solutions for notoriously difficult real-world problems: the design of higher quality and more cost-effective medicinal treatments for patients, better monitoring of drug use, drug repurposing, personalized medicine, etc. Addressing these problems of improving the healthcare needs of patients around the world will require diverse approaches and various collaborative efforts. The aim of this workshop is to raise awareness for the need to link structured and unstructured data, and encourage the research community to develop approaches to improve treatments and optimize patient health and safety.