[AISWorld] IJHISI 13(3) - Abstracts and Call for Papers - Intl J of Healthcare Information Systems and Informatics

[Michael Dohan]

 Abstract Announcement for International Journal of Healthcare Information
Systems and Informatics (IJHISI) 13(3) The contents of the latest issue of:
*International Journal of Healthcare Information Systems and Informatics
(IJHISI)*
Volume 13, Issue 3, July - September 2018
Indexed by: Compendex (Elsevier Engineering Index), INSPEC, SCOPUS, Web of
Science Emerging Sources Citation Index (ESCI)
*For a complete list of indexing and abstracting services that include this
journal, please reference the bottom of this announcement.*
Published: Quarterly in Print and Electronically
ISSN: 1555-3396; EISSN: 1555-340X;
Published by IGI Global Publishing, Hershey, USA
www.igi-global.com/ijhisi
<https://www.igi-global.com/journal/international-journal-healthcare-information-systems/1094>

Editor-in-Chief: Joseph Tan (McMaster University, Canada)
*Note: The International Journal of Healthcare Information Systems and
Informatics (IJHISI) has an Open Access option, which allows individuals
and institutions unrestricted access to its published content. Unlike
traditional subscription-based publishing models, open access content is
available without having to purchase or subscribe to the journal in which
the content is published. All IGI Global manuscripts are accepted based on
a double-blind peer review editorial process.*

*ARTICLE 1*

The Diagnosis of Dengue Disease: An Evaluation of Three Machine Learning
Approaches

Shalini Gambhir (SRM University, Sonepat, Haryana, India), Sanjay Kumar
Malik (SRM University, Sonepat, India), Yugal Kumar (Jaypee University of
Information Technology, Solan, India)

This article describes how Dengue fever is a fatal and hazardous disease
resulting from the bite of several species of the female mosquito
(principally, Aedesaegypti). Symptoms of the dengue fever mimic those of a
number of other infectious and/or mosquito-borne tropical diseases such as
Viral flu, Chikungunya, and Zika fever. Yet, with dengue fever, human life
can be more at risk due to severe depletion of blood platelets. Thus, early
detection of dengue disease can ensure saving lives; furthermore, it can
help in making a preventive move before the disease progresses to epidemic
proportion. Hence, the target of this article is to propose a model for an
early detection and precise diagnosis of dengue disease. In this article,
three prevalent machine learning methodologies, including, Artificial
Neural Network (ANN), Decision Tree (DT) and Naive Bayes (NB) are evaluated
for designing a diagnostic model. The performance of these models is
assessed utilizing available dengue datasets. Results comparing and
contrasting performance of diagnostic models utilizing accuracy,
sensitivity, specificity and error rate parameters showed that ANN-based
diagnostic model appears to yield better performance measures over both the
DT and NB models.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/the-diagnosis-of-dengue-disease/204558

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=204558

*ARTICLE 2*

Models for Drone Delivery of Medications and Other Healthcare Items

Judy E. Scott (University of Colorado, Denver, USA), Carlton H. Scott
(University of California, Irvine, USA)

This article describes how a healthcare delivery drone has the potential
for developing countries to leapfrog the development of traditional
transportation infrastructure. Inaccessible roads no longer will prevent
urgent delivery of blood, medications or other healthcare items. This
article reviews the current status of innovative drone delivery with a
particular emphasis on healthcare. The leading companies in this field and
their different strategies are studied. Further, this article reviews the
latest decision models that facilitate management decision making for
operating a drone fleet. The contribution in this article of two new models
associated with the design of a drone healthcare delivery networks will
facilitate a more timely, efficient, and economical drone healthcare
delivery service to potentially save lives.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/models-for-drone-delivery-of-medications-and-other-healthcare-items/204559

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=204559

*ARTICLE 3*

Factors Affecting Business and Information Technology Alignment at the
Lower Levels of a Public Organisation

Sid Vatharkar (Vodafone UK, Birmingham, UK), Ping Gao (The University of
Manchester, Manchester, UK), Vladislav Fomin (Vytautas Magnus University,
Kaunas, Lithuania & Turiba University, Riga, Latvia)

This article describes how the alignment of business and information
technology (IT) strategies impact organisational performance. The alignment
involves an entire organisation. However, much of the research has focused
on the factors affecting alignment at the senior executive level, and there
appears to be less attention placed upon factors that affect the lower
operational levels. This article attempts to address this gap in the
literature through a case study of a healthcare organisation.
Semi-structured interviews with ten employees at an operational level were
qualitatively analysed to elucidate factors. Organisational culture,
management expectations, communication, and the provision and recognition
of skills were identified as main factors that may affect the alignment of
business and IT strategies at the lower levels

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/factors-affecting-business-and-information-technology-alignment-at-the-lower-levels-of-a-public-organisation/204560

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=204560

*ARTICLE 4*

Kinect-Based Limb Rehabilitation Methods

Yongji Yang (Changchun University, Changchun City, China), Zhiguo Xiao
(Changchun University, Changchun City, China), Furen Jiang (Changchun
University, Changchun City, China)

Within the context of health informatics, this article discusses how
real-time information of human skeleton movements can be conveniently
captured via the use of Kinect-based deep sensor. It highlights an
effective action recognition method, using Unity3D to form virtual models
of characters and scenes. Kinect somatosensory cameras can now identify
one's motion data and provide feedback on the virtual role model to
complete the avatar drive. This is to achieve real-time simulation modeling
as well as drive operation instructions based on the design and
identification verification to complement limb rehabilitation. The hardware
of such a health informatics-related system is simple, inexpensive, and
highly meaningful in term of augmenting user experience. In conclusion, the
suggested approach can contribute significantly towards aiding physical
rehabilitation therapy

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/kinect-based-limb-rehabilitation-methods/204561

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=204561

------------------------------
For full copies of the above articles, check for this issue of the
*International
Journal of Healthcare Information Systems and Informatics (IJHISI)* in your
institution's library. This journal is also included in the IGI Global
aggregated *"InfoSci-Journals"* database: www.igi-global.com/isj
<https://www.igi-global.com/e-resources/infosci-databases/infosci-journals/>
.
------------------------------

*CALL FOR PAPERS*

Mission of IJHISI:

The mission of the *International Journal of Healthcare Information Systems
and Informatics (IJHISI)* is to be a prime source for both academic
researchers and practitioners to advance the knowledge and practice in the
interdisciplinary areas of healthcare information technology and management
research. IJHISI addresses the innovative concepts and critical issues in
the emerging field of health information systems and informatics.

Indices of IJHISI:


   - ACM Digital Library
   - Australian Business Deans Council (ABDC)
   - Bacon's Media Directory
   - Burrelle's Media Directory
   - Cabell's Directories
   - Compendex (Elsevier Engineering Index)
   - CSA Illumina
   - DBLP
   - Gale Directory of Publications & Broadcast Media
   - GetCited
   - Google Scholar
   - INSPEC
   - JournalTOCs
   - Library & Information Science Abstracts (LISA)
   - MediaFinder
   - Norwegian Social Science Data Services (NSD)
   - SCOPUS
   - The Index of Information Systems Journals
   - The Standard Periodical Directory
   - Ulrich's Periodicals Directory
   - Web of Science
   - Web of Science Emerging Sources Citation Index (ESCI)

Coverage of IJHISI:

This journal spans a wide scope of applications and issues surrounding the
organization, classification, evaluation, and adoption of advanced
information and communication technology in topics that include (but are
not limited to) the following:

   - Clinical decision support design, development, and implementation
   - E-health
   - Healthcare
   - Impact of HISI on public and social policy
   - IT applications and measurements in health organizations and practices
   - IT security and privacy issues
   - Management of emerging healthcare technologies
   - Medical informatics
   - M-health
   - Role of informatics specialists
   - Telemedicine
   - Virtual health technologies


Interested authors should consult the journal's manuscript submission
guidelines
www.igi-global.com/calls-for-papers/international-journal-healthcare-information-systems/1094