Machine Learning for Healthcare (mlforhc 2019)

Aug 8 - 10, 2019, Ann Arbor, MI

Scope & Topics

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 expertise, and clinicians/medical researchers. MLHC supports the advancement of data analytics, knowledge discovery, and meaningful use of complex medical data by fostering collaborations and the exchange of ideas between members of these often completely separated communities. To pursue this goal, the event includes invited talks, poster presentations, panels, and ample time for thoughtful discussion and robust debate.

MLHC has a rigorous peer-review process and an (optional) archival proceedings through the Journal of Machine Learning Research proceedings track. You can access last year’s proceedings here: http://proceedings.mlr.press/v85/

Topics of Interest :

• Predicting individual patient outcomes
  
• Mining, processing and making sense of clinical notes
  
• Patient risk stratification
  
• Parsing biomedical literature
  
• Bio-marker discovery
  
• Brain imaging technologies and related models
  
• Learning from sparse/missing/imbalanced data
  
• Time series analysis with medical applications
  
• Medical imaging
  
• Efficient, scalable processing of clinical data
  
• Clustering and phenotype discovery
  
• Methods for vitals monitoring
  
• Feature selection/dimensionality reduction
  
• Text classification and mining for biomedical literature
  
• Exploiting and generating ontologies
  
• ML systems that assist with evidence-based medicine
  

Important Dates

Submission Deadline	:	March 29, 2019
Authors Notification	:	June 07, 2019
Final Manuscript Due	:	N/A

 

User Name : austin
Posted 03-12-2018 on 17:05:52 AEDT

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