MLMH 2018: 2018 KDD Workshop on Machine Learning for Medicine and Healthcare |
Website | https://mlmhworkshop.github.io/mlmh-2018/ |
Submission link | https://easychair.org/conferences/?conf=mlmh2018 |
Submission deadline | May 25, 2018 |
MLMH 2018 is a KDD workshop on machine learning for medicine and healthcare. Please see website for more details.
Submission Guidelines
We invite full papers, as well as work-in-progress on the application of machine learning for precision medicine and healthcare informatics. Topics may include, but not limited to, the following topics (For more information see workshop overview)
- Data Standards for Translational Medicine Informatics
- Analysis of large scale electronic health records or patient-generated health data records
- Visualisation of complex and dynamic biomedical networks
- Disease Subtype Discovery for Precision Medicine
- Interpretable Machine Learning for biomedicine and healthcare
- Deep learning for biomedicine
Papers must be submitted in PDF format to https://easychair.org/conferences/?conf=mlmh2018 and formatted according to the new Standard ACM Conference Proceedings Template . Papers must be a maximum length of 4 pages, including references.
The program committee will select the papers based on originality, presentation, and technical quality for spotlight and/or poster presentation.
Organizing Committee
- Dr. Mansoor Saqi, Imperial College London, UK
- Dr. Prithwish Chakraborty, IBM Research, USA
- Dr. Irina Balaur, EISBM, Lyon, France
- Dr. Paul Agapow, ICL, UK
- Dr. Scott Wagers, BioSci Consulting, Belgium
- Dr. Pei-Yun Sabrina Hsueh, IBM Research, USA
- Dr. Fred Rahmanian, Geneia, USA
- Dr. Muhammad Aurangzeb Ahmad, University of Washington, USA
Venue
The conference will be held in London, UK and organized along with KDD 2018.
Contact
All questions about submissions should be emailed to mlmhworkshop@googlegroups.com