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Data Analytics and Visualization in Health Informatics

This special issue belongs to the section “Computer Science & Engineering“.

Special Issue Information

Dear Colleagues,

Health informatics (HI) has emerged as a growing domain of interest among researchers worldwide, owing to its significant implications on society. It aims to develop methods and technologies for acquiring, processing, detecting, and visualizing health-related data that can come from different sources and modalities, such as electronic health records, diagnostic test results, medical scans, news articles, etc. Making sense of all this information is a challenging process.      

Artificial Intelligence (AI) and Machine Learning (ML) use algorithms to learn from data to gain knowledge from experience and make decisions and predictions. Information visualizations (IV) are interactive visual externalizations of abstract data that can assist one in making sense of a large amount of information. Thus, applying AI, ML, and IV in health informatics has the most significant potential to raise the quality, efficacy, and efficiency of treatment and care.

The purpose of this Special Issue is to seek high-quality submissions that highlight emerging applications of information visualization, artificial intelligence, and data analytics techniques for health informatics.

Topics of interest include, but are not limited to, the following: 

  • Interactive visualization for health informatics;
  • Robust visual encoding methods for health informatics;
  • Cognitive and perception science for health data visualization;
  • Explainable visualization system for health informatics;
  • Machine learning for health informatics;
  • Artificial Intelligence for health informatics;
  • Data Mining and Knowledge discovery for health informatics;
  • Health-related misinformation/fake news detection;
  • COVID-19 data analysis and visualization;
  • Health-related smartphone apps use;
  • Smartphone apps development for health;
  • Wearable devices and sensors for health;
  • Artificial intelligence for behavior data analysis.

Dr. Ashad Kabir
Dr. Sheikh Mohammed Shariful Islam
Dr. Enamul Hoque
Dr. Mufti Mahmud
Dr. Naeemul Hassan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • health informatics
  • visualizing health data
  • interactive visualization for health care
  • machine learning for health data
  • artificial intelligence for health data
  • data mining for health data
  • health-related misinformation/fake news detection
  • COVID-19 data analysis and visualization
  • health-related smartphone apps
  • mobile health informatics
  • wearables and sensors
  • explainable AI for visual interactive system
  • explainable data analysis

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Electronics - ISSN 2079-9292