Special Issue "Intelligent Health Services Based on Biomedical Smart
Sensors"
https://www.mdpi.com/journal/applsci/special_issues/intelligent_health_servi
ces_biomedical_smart_sensors
Applied Sciences
ISSN: 2076-3417
Impact factor (2017): 1.689
Aims and Scope:
===============
Dear Colleagues,
Advances in computer technologies are driving significant changes in medical
care by shifting the hospital-centered paradigm to a patient-centered one.
The focus on disease is replaced with the orientation to wellness.
Monitoring and analyzing biomedical variables are key activities required
for diagnosis and health care. The automation of these activities by means
of computing systems allows processing massive volumes of data collected
from biomedical sensors, leading to useful field applications to health
personnel. This is particularly interesting to predict the diagnosis of
certain diseases suffered by the most vulnerable groups, like the elderly.
New systems, applications, developments, models, and research that make use
of monitored medical data are envisaged to bring differentiated services to
the society.
Big Data and Machine Learning provide significant potential for this
purpose, leading to new applications, more effective operations, and more
human approaches. These methodologies enable digging massive databases,
enhancing the knowledge base and producing new data model-based applications
and services for society. The most significant requirement for these
technologies is the availability of databases to mine them or to train and
test the models. However, medical information is hard to obtain for
administrative issues, so other efficient alternatives to collect data are
required. The use of smart sensors requires strategies to minimize
interference with the work of health personnel and have a minimal impact on
monitored patients. The implementation of health-care services with these
technologies will probably save costs, but the benefits will be better
perceived as an increment of the satisfaction of patients and personnel.
Moreover, these technological implementations will expand accessibility to
new areas.
This Special Issue provides a collection of papers of original advances in
health applications and services propelled by artificial intelligence, big
data, and machine learning, supported by the design of biosensor systems for
the construction of trustable medical databases. Papers about advancements
in pattern recognition techniques, intelligent algorithms, automated data
analysis, sensor-fusion techniques, and smart sensing, which focus on
existing issues in biomedical sensing and diagnostics, are welcomed.
Keywords:
=========
- extraction information from biomedical sensors
- Internet of Things
- biomedical data
- cloud computing in health
- data mining and big data analysis
- intelligent systems for health
- machine and deep learning
- diagnostic and predictive analytics
- health systems, healthcare, and wellness
- activity recognition in health care
- data authentication and security
- privacy-preserving systems for healthcare
Deadline for Manuscript Submissions:
====================================
30 June 2019
Guest Editors:
==============
Prof. Dr. Ricardo Colomo-Palacios
Department of Computer Science, Østfold University College, Halden 1783,
Norway
Prof. Dr. Juan A. Gómez-Pulido
Escuela Politécnica, Universidad de Extremadura, Cáceres, Spain
Dr. Alfredo J. Pérez
TSYS School of Computer Science, Columbus State University, Columbus, GA
31907, USA
perez_alfredo@columbusstate.edu
Manuscript Submission Information:
=========================
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