Connectionists: NIPS 2014 Workshop on Machine Learning for Clinical Data, Healthcare and Genomics

[Julia Vogt]

NIPS 2014 Workshop on Machine Learning for Clinical Data, Healthcare and Genomics

=== Call for Late Breaking Submissions ===
When: Dec. 12th 2014
Where: Montreal, Quebec, Canada
Submission website: https://easychair.org/conferences/?conf=mlcda14
Workshop Website: http://goo.gl/gbfUl0

Abstract:

Advances in medical information technology have resulted in enormous warehouses of data that are both overwhelming and sparse. A single patient visit may result in tens to thousands of measurements and structured information, including clinical factors, diagnostic imaging, lab tests, genomic and proteomic tests. Hospitals may see thousands of patients each year. However, each patient may have relatively few visits to any particular medical provider. The resulting data are a heterogeneous amalgam of patient demographics, vital signs, diagnoses, records of treatment and medication receipt and annotations made by nurses or doctors, each with its own idiosyncrasies.

The objective of this workshop is to discuss how advanced machine learning techniques can derive clinical and scientific impact from these messy, incomplete, and partial data. We will bring together machine learning researchers and experts in medical informatics who are involved in the development of algorithms or intelligent systems designed to improve quality of healthcare. Relevant areas include health monitoring systems, clinical data labeling and clustering, clinical outcome prediction, efficient and scalable processing of medical records, feature selection or dimensionality reduction in clinical data, tools for personalized medicine, time-series analysis with medical applications and clinical genomics.

We seek submissions on topics including:

* Health monitoring systems
* Clinical data labeling
* Clustering and phenotype discovery
* Clinical outcome prediction and tools for personalized medicine
* Efficient, scalable processing of clinical data
* Feature selection and dimensionality reduction in clinical data
* Time series analysis with medical applications
* Clinical genomics

Submission Details:
Late breaking contributions will be presented at the workshop as posters. Submissions should be extended abstracts no more than 2 pages in length in NIPS format. They do not need to be anonymous. Extended abstracts should be submitted at https://easychair.org/conferences/?conf=mlcda14 by October 31 11:59 PM PDT.

Important Dates:
Submission: 31st October 2014 11:59 PM PDT
Notification: 7th November 2014
Workshop: 12th December 2014

Organizers:
Madalina Fiterau (CMU, http://www.cs.cmu.edu/~mfiterau/)
Julia Vogt (MSKCC, http://cbio.mskcc.org/directory/julia-vogt)
Gunnar Rätsch (MSKCC, http://www.mskcc.org/research/lab/gunnar-ratsch)