VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2016)

[Gang Luo]

-- Call for Papers --

The Second International Workshop on Data Management and Analytics
for Medicine and Healthcare (DMAH 2016)
In Conjunction with VLDB 2016
New Delhi, India, September 9, 2016
http://dmah.info/


Healthcare enterprises are producing large amounts of data through
electronic
medical records, medical imaging, health insurance claims, surveillance,
and
others. Such data have high potential to transform current healthcare to
improve healthcare quality and prevent diseases, and advance biomedical
research. Medical Informatics is an interdisciplinary field that studies
and pursues the effective use of medical data, information, and knowledge
for scientific inquiry, problem solving and decision making, driven by
efforts
to improve human health and well being.

The goal of the workshop is to bring people in the field cross-cutting
information management and medical informatics to discuss innovative data
management and analytics technologies highlighting end-to-end applications,
systems, and methods to address problems in healthcare, public health, and
everyday wellness, with clinical, physiological, imaging, behavioral,
environmental, and omic- data, and data from social media and the Web. It
will provide a unique opportunity for interaction between information
management researchers and biomedical researchers for the interdisciplinary
field.


This workshop welcomes papers that address fundamental research issues
for complex medical data environments, data management and analytical
methods, systems and applications.

Topics of interest include, but not limited to:

Big data integration for medical data;
Data cleansing for noisy and missing data;
Medical data and knowledge management and decision support;
Data management technologies for medical data;
Semantic Web and ontologies for clinical and biomedical applications;
Medical natural language processing and text mining;
Data mining and knowledge discovery from medical data;
Algorithms to speed up the analysis of big medical data;
Innovative visualization techniques for query and analysis of medical data;
Medical image mining;
Medical information retrieval;
Data privacy and security for healthcare data;
Hospital readmission analytics;
Medical fraud detection;
Social media and Web data analytics for public health;
Data analytics for pervasive computing for medical care.

DMAH 2016 accept two types of papers:
1) Regular research papers reporting original research results or
significant
case studies (18 pages).
2) Extended abstracts presenting novel research directions or challenging
problems (4 pages).


Important Dates:

Individual Workshop Papers: June 1, 2016
Notification of Acceptance: July 6, 2016
Camera Ready: July 20, 2016
Workshop date: September 9, 2016


All submitted papers will be rigorously reviewed. All accepted papers will
be made available as a workshop proceedings to be published by Springer
LNCS.

Workshop Chairs:
Fusheng Wang, Stony Brook University, USA
Lixia Yao, University of North Carolina at Charlotte, USA
Gang Luo, University of Utah, USA

Program Committee:
Syed Sibte Raza Abidi, Dalhousie University, Canada
Carlo Combi, University of Verona, Italy
Vassilis Cutsuridis, Foundation for Research
and Technology - Hellas, Greece
Amarendra Das, Dartmouth College, USA
Anna Divoli, Pingar Research, New Zealand
Peter Elkin, University of Buffalo, USA
Kerstin Denecke, Bern University of Applied Sciences, Switzerland
Dejing Dou, University of Oregon, USA
Jesús B. Alonso Hernández, University of Las Palmas
de Gran Canaria, Spain
Guoqian Jiang, Mayo Clinic, USA
Ying Li, IBM T. J. Watson Research Center, USA
Jun Kong, Emory University, USA
Tahsin Kurc, Stony Brook University, USA
Ulf Leser, Humboldt-Universität in Berlin, Germany
Yanhui Liang, Stony Brook University, USA
Fernando Martin-Sanchez, Weill Cornell Medicine, USA
Casey Lynnette Overby, Johns Hopkins School of Medicine, USA
Yuval Shahar, Ben Gurion University, Israel
Xiang Li, Fudan University, China
Hua Xu, University of Texas Health Science Center, USA
Chao Yang, Amazon, USA
Lin Yang, University of Florida, USA
Zhe He, Florida State University, USA

[Gang Luo]

The Biomedical and Health Informatics (BHI) program at the University of
Washington offers a modest number of postdoctoral training fellowships,
funded by the National Library of Medicine (NLM). These fellowships
typically begin in the fall of each year, and are usually of two-year
duration. Note that ** eligibility ** for these fellowships is limited
to US citizens and permanent residents.

These fellowships are available to individuals from a variety of
backgrounds who are interested in working with our faculty on their
ongoing research projects including machine learning, data mining, big
data, database, and information retrieval. Funded NLM postdocs who are
not also seeking a BHI degree have a small set of coursework requirement.

Prospective applicants for a postdoctoral fellowship should contact the
program office in advance of the deadline to indicate their interest.
For additional information and to apply for a postdoctoral fellowship,
please visit:
http://www.bhi.washington.edu/postdocprog
Application deadline: August 15, 2016

[Gang Luo]

-- Call for Papers --

The Third International Workshop on Data Management and Analytics
for Medicine and Healthcare (DMAH 2017)
In Conjunction with VLDB 2017
Munich, Germany, September 1, 2017

DMAH 2017 accept two types of papers:

1) Regular research papers reporting original research results or
significant
case studies (18 pages).
2) Extended abstracts presenting novel research directions or challenging
problems (4 pages).


Important Dates:

Individual Workshop Papers: May 7, 2017
Notification of Acceptance: June 18, 2017
Camera Ready: July 2, 2017
Workshop date: September 1, 2017

All submitted papers will be rigorously reviewed. All accepted papers will
be made available as a workshop proceedings to be published by Springer
LNCS.

Workshop Chairs:
Fusheng Wang, Stony Brook University, USA

Gang Luo, University of Washington, USA
Edmon Begoli, Oak Ridge National Laboratory, USA