Medical Analytics for Healthcare Intelligence

  in Special Issue   Posted on June 15, 2019

Information for the Special Issue

Submission Deadline: Sat 31 Aug 2019
Journal Impact Factor : 4.383
Journal Name : Artificial Intelligence in Medicine
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:


With rapid advancement in technology, the healthcare industry is producing and collecting data at a staggering speed. Vast amount of healthcare data has been collected through sources such as genomics, electronic health records, medical monitoring devices and health-related mobile phone apps, which result in a mixture of structured data such as patient demographics and medication list as well as semi-structured or unstructured data such as doctor notes and medical images. However, raw data is barely of direct interest to healthcare stakeholders unless potentially useful knowledge is extracted.

The advancement of data analytics facilitates the generation of data-driven models to improve the understanding of disease mechanisms, increase the efficiency in healthcare delivery, reduce overall cost to the healthcare systems and facilitate clinical decision support. The use of analytics in the ever-increasing quantity of healthcare data presents rich opportunities, but also a number of daunting challenges such as the vast amount of unstructured data, the concern of privacy and security issue, the lack of data standardization, the issues of data storage and transfers. These challenges have slowed the process of leveraging healthcare data, which leads to the deployment of analytics models in healthcare not convincingly demonstrated due to the rarity of their application.

To embrace the challenges and opportunities in designing and deploying intelligent healthcare systems, this special issue aims to encourage submissions of scientific findings from both academia and healthcare industry that present the fundamental theory, techniques, applications and practical experiences in the context of designing, implementing or evaluating analytics for healthcare intelligence.


The topics of this special issue include, but are not limited to:

  • Data Mining and Knowledge Discovery in Healthcare
  • Medical Expert Systems
  • Ontologies in Healthcare
  • Machine Learning in Healthcare
  • Clinical Decision Support Systems
  • Text Mining and Natural Language Processing in Medical Documents
  • Medical Imaging
  • Deep Learning Applications in Healthcare
  • Predictive Modelling for Personalized Treatment
  • Medical Recommender Systems
  • Intelligent Systems for Electronic Health Records
  • Computational Intelligence for Healthcare
  • Intelligent Medical Devices and Sensors
  • Visual Analytics for Healthcare
  • Computer-aided Diagnosis
  • Modelling and Reasoning with Time in Medical Data and Systems


Submitted papers must present original research, which is neither published anywhere else nor under any simultaneous consideration in any other place. Submissions should be through the Artificial Intelligence in Medicine journal website at and by selecting \”VSI:Healthcare Analytics\” as the article type. The submission guidelines are available at Submitted papers will be reviewed by at least three independent reviewers.


Submission Due – 31 August 2019

Notification of First Decision – 30 November 2019

Notification of Final Acceptance – 30 April 2020


Dr Tianhua Chen
University of Huddersfield, United Kingdom

Prof Grigoris Antoniou
University of Huddersfield, United Kingdom

Prof Elpida Keravnou-Papailiou
University of Cyprus, Cyprus

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