Untitled Document
Machine Learning in Health Care (MLHC 2017)
August 18-19, 2017, Northeastern University, Boston, MA
Call for Papers:
MLHC is an annual research meeting that exists to bring together two usually insular disciplines: computer scientists with artificial intelligence, machine learning, and big data expertises, with clinicians, and medical researchers. MLHC supports the advancement of data analytics, knowledge discovery, and seriously meaningful use of complex medical data by fostering collaborations and the exchange of ideas between members of these too often completely separated communities. To this end, the symposium includes invited talks, poster presentations, panels, and ample time for thoughtful discussion and robust debate.
Papers primarily based on (but not limited to) the following topics are welcome: (Topics include but not limited to)
- Predicting individual patient outcomes
- Patient risk stratification
- Bio-marker discovery
- Learning from sparse/missing/imbalanced data
- Medical imaging
- Clustering and phenotype discover
- Feature selection/dimensionality reduction
- Exploiting and generating ontologies
- Text classification and mining for biomedical literature
- Mining, processing and making sense of clinical notes
- Parsing biomedical literature
- Brain imaging technologies and related models
- Time series analysis with medical applications
- Efficient, scalable processing of clinical data
- Methods for vitals monitoring
- ML systems that assist with evidence-based medicine
- Integration of clinical, omics, social media, and mobile sources
- Public health and pharmaco-surveillance
IMPORTANT DATES:
- Submission Deadline : April 24, 2017
- Author Notification :June 16, 2017
- Conference :18-19, 2017
User Name : sam
Posted 20-02-2017 on 15:34:08 AEDT
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