Biomedical ontologies and controlled terminologies provide structured domain knowledge to a variety of health information systems. The rich thesaurus with concepts linked by semantic relationships has been widely used in natural language processing, data mining, machine learning, semantic annotation, and automated reasoning. The dramatically increasing amount of health-related data poses unprecedented opportunities for mining previously unknown knowledge with semantics-powered data analytics methods. However, due to the heterogeneity of different data sources, it is a challenging problem to exploit multiple sources to solve real-world problems such as designing cost-effective treatment plan for patients, designing generalizable clinical trials, drug repurposing, and clinical phenotyping. The goal of this workshop is to bring people in the field of knowledge representation, knowledge management, and health data analytics to discuss innovative semantic methods, applications, and data analytics to address problems in healthcare, biomedicine, public health, and clinical research with biomedical, clinical, behavioral, and social web data.
We are inviting original research submissions as well as work-in-progress.
Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system (you can download the format instruction here ). Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
Submission site: Submit a New Paper (https://wi-lab.com/cyberchair/2017/bibm17/scripts/submit.php?subarea=S03&undisplay_detail=1&wh=/cyberchair/2017/bibm17/scripts/ws_submit.php)
User Name : srav
Posted 26-07-2017 on 10:06:20 AEDT