4th IJCAI International Workshop on Biomedical infOrmatics with Optimization and Machine learning (BOOM)
Abstr. due: 30.05.2019
Dates: 11.08.19 — 11.08.19
Organizing comittee e-mail: email@example.com
Organizers: Zhangyang Wang, Texas A&M University Yang Shen, Texas A&M University Shuai Huang, University of Washington Jiayu Zhou, Michigan State University
Biomedical informatics as an emerging field has been fascinating talents from artificial intelligence and machine learning for its unique opportunities and challenges. Fast-growing biomedical and healthcare data have encompassed multiple scales ranging from molecules, cells, individuals, to populations and have connected various entities in healthcare systems such as providers, pharma, and payers with increasing bandwidth, depth, and resolution. These data are becoming an enabling resource to harness for scientific knowledge discovery and clinical decision making. Meanwhile, the sheer volume and complexity of the data present major barriers toward their translation into effective clinical actions. In particular, biomedical data often feature large volumes, high dimensions, imbalance between classes, heterogeneous sources, noises, incompleteness, and rich contexts, which challenges the direct and immediate success of existing machine learning and optimization methods. For instance, deep learning methods have made notable advances for biomedical informatics needs, especially in processing brain-imaging data and making neuroscience discovery, although their utilities to more types of data in more biomedical informatics use-cases still awaits further assessment and development. Therefore, there is a compelling demand for novel algorithms, including machine learning, data mining and optimization, that specifically tackle the unique challenges associated with biomedical and healthcare data and allow decision-makers and stakeholders to better interpret and exploit the data.
The BOOM workshop aims at catalyzing synergies among biomedical informatics, artificial intelligence, machine learning, and optimization. This workshop is targeting an audience of applied mathematicians, computer scientists, industrial engineers, bioinformaticians, computational biologists, clinicians and healthcare researchers who are interested in exploring the emerging and fascinating interdisciplinary topics. It is designed to foster exchange of ideas between often-disparate groups that are unaware of each other's research, and to stimulate fruitful collaborations among different disciplines. In the past, BOOM has been successfully held three times in conjunction with IJCAI (2016, 2017, 2018), featured keynote speakers from academia, federal agency, medical practice, and corporates, successfully attracted a broad audience, and published journal special issues for accepted long articles.Information source:https://easychair.org/cfp/BOOM-2019
Conference Web-Site: https://www.ijcai-boom.org/