Complexity

Complexity in Medical Informatics


Publishing date
01 Nov 2018
Status
Published
Submission deadline
29 Jun 2018

1Ionian University, Corfu, Greece

2Wilfrid Laurier University, Ontario, Canada

3Agricultural University of Athens, Athens, Greece


Complexity in Medical Informatics

Description

Medical informatics is a multidisciplinary field that has become synonymous with the advancements and big data challenges. The huge amounts of data generated by clinical IoT platforms and related to networking issues, graphical interfaces, data mining, machine and deep learning, intelligent decision support systems, and specialized programming languages are too complex and voluminous to be processed and analyzed by traditional methods. There is a wide range of techniques and frameworks that can be exploited to address these challenges towards the improvement of patient’s safety, the enhancement of care outcomes, the promotion of a patient-centered care, the facilitation of translational research, the activation of precision medicine, and the improvement of education and skills in health informatics. The aforementioned technological frameworks could contribute significantly in the extraction of useful information for data analysis and decision-making purposes.

The aim of this special issue is to examine the applicability of novel techniques and especially the accuracy of the neural network methodologies and genetic algorithms in multivariate analysis of clinical data. The current use of neural networks in image analysis, signal processing, and laboratory medicine is expected to be highlighted. Research and Review articles which describe the current state of the art relating to this research area are encouraged to be submitted.

Potential topics include but are not limited to the following:

  • Machine and deep learning approaches for health data
  • Data mining and knowledge discovery in healthcare
  • Clinical decision support systems
  • Applications of the genetic algorithm in disease screening, diagnosis, and treatment planning
  • Neuro-fuzzy system based on genetic algorithm for medical diagnosis and therapy support systems
  • Applications of AI in health care
  • Applications of artificial neural networks in medical science
  • Electronic medical record and missing data
  • Network and disease modelling (using administrative data)
  • Health analytics and visualization

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 8658124
  • - Editorial

Complexity in Medical Informatics

Panagiotis Vlamos | Ilias Kotsireas | Dimitrios Vlachakis
  • Special Issue
  • - Volume 2018
  • - Article ID 9193248
  • - Research Article

Application of Data Mining Technology on Surveillance Report Data of HIV/AIDS High-Risk Group in Urumqi from 2009 to 2015

Dandan Tang | Man Zhang | ... | Yujian Zheng
  • Special Issue
  • - Volume 2018
  • - Article ID 4216813
  • - Research Article

Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine

Yanbin Wang | Zhuhong You | ... | Tonghai Jiang
  • Special Issue
  • - Volume 2018
  • - Article ID 8651930
  • - Research Article

Tensor Decomposition for Multiple-Instance Classification of High-Order Medical Data

Thomas Papastergiou | Evangelia I. Zacharaki | Vasileios Megalooikonomou
  • Special Issue
  • - Volume 2018
  • - Article ID 4075656
  • - Research Article

Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers

Gonzalo A. Ruz | Pamela Araya-Díaz
  • Special Issue
  • - Volume 2018
  • - Article ID 7536731
  • - Research Article

An Optimal Algorithm for Determining Risk Factors for Complex Diseases: Depressive Disorder, Osteoporosis, and Fracture in Young Patients with Breast Cancer Receiving Curative Surgery

Chieh-Yu Liu | Chun-Hung Chang
  • Special Issue
  • - Volume 2018
  • - Article ID 4963139
  • - Research Article

A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP

Stefano Beretta | Mauro Castelli | ... | Ivan Merelli
  • Special Issue
  • - Volume 2018
  • - Article ID 3078374
  • - Research Article

Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification

Keming Mao | Renjie Tang | ... | Haoxiang Wu
Complexity
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 Journal metrics
Acceptance rate43%
Submission to final decision64 days
Acceptance to publication35 days
CiteScore3.200
Impact Factor2.462
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