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<div class="moz-text-flowed" style="font-family: -moz-fixed;
font-size: 14px;" lang="x-unicode"> -- Call
for Papers --
<br>
<br>
The Fourth International Workshop on Data Management and
Analytics
<br>
for Medicine and Healthcare (DMAH 2018)
<br>
In Conjunction with VLDB 2018
<br>
Rio de Janeiro, Brazil
<br>
August 31, 2018
<br>
<a class="moz-txt-link-freetext"
href="http://dmah.info/">http://dmah.info/</a>
<br>
<br>
Healthcare enterprises are producing large amounts of data through
electronic
<br>
medical records, medical imaging, health insurance claims,
surveillance, and
<br>
others. Such data have high potential to transform current
healthcare to
<br>
improve healthcare quality and prevent diseases, and advance
biomedical
<br>
research. Medical Informatics is an interdisciplinary field that
studies
<br>
and pursues the effective use of medical data, information, and
knowledge
<br>
for scientific inquiry, problem solving and decision making,
driven by efforts
<br>
to improve human health and well being.
<br>
<br>
The goal of the workshop is to bring people in the field
cross-cutting
<br>
information management and medical informatics to discuss
innovative data
<br>
management and analytics technologies highlighting end-to-end
applications,
<br>
systems, and methods to address problems in healthcare, public
health, and
<br>
everyday wellness, with clinical, physiological, imaging,
behavioral,
<br>
environmental, and omic- data, and data from social media and the
Web. It
<br>
will provide a unique opportunity for interaction between
information
<br>
management researchers and biomedical researchers for the
interdisciplinary
<br>
field.
<br>
<br>
This workshop welcomes papers that address fundamental research
issues
<br>
for complex medical data environments, data management and
analytical
<br>
methods, systems and applications.
<br>
<br>
Topics of interest include, but not limited to:
<br>
<br>
Big data integration for medical data;
<br>
Data cleansing for noisy and missing data;
<br>
Medical data and knowledge management and decision support;
<br>
Data management technologies for medical data;
<br>
Semantic Web and ontologies for clinical and biomedical
applications;
<br>
Medical natural language processing and text mining;
<br>
Data mining and knowledge discovery from Electronic Health
Records;
<br>
Algorithms to speed up the analysis of big medical data;
<br>
Innovative visualization techniques for query and analysis of
medical data;
<br>
Medical image mining;
<br>
Medical information retrieval;
<br>
Data privacy and security for healthcare data;
<br>
Hospital readmission analytics;
<br>
Medical fraud detection;
<br>
Social media and Web data analytics for public health;
<br>
Data analytics for pervasive computing for medical care.
<br>
<br>
DMAH 2018 accept two types of papers:
<br>
1) Regular research papers reporting original research results or
significant
<br>
case studies (18 pages).
<br>
2) Extended abstracts presenting novel research directions or
challenging
<br>
problems (4 pages).
<br>
<br>
Important Dates:
<br>
<br>
Individual Workshop Papers: May 7, 2018
<br>
Notification of Acceptance: June 18, 2018
<br>
Camera Ready: June 30, 2018
<br>
Workshop date: August 31, 2018
<br>
<br>
All submitted papers will be rigorously reviewed. All accepted
papers will
<br>
be made available as a workshop proceedings to be published by
Springer LNCS.
<br>
<br>
Workshop Chairs:
<br>
Fusheng Wang, Stony Brook University, USA
<br>
Gang Luo, University of Washington, USA
<br>
George Teodoro, University of Brasilia, Brazil
<br>
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