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Applications of Machine Learning and Artificial Intelligence for Healthcare

Special Issue Information

Dear Colleagues,

Substantial advances have been made in artificial intelligence (AI) and machine learning (ML) in recent years, and these advancements have great potential for healthcare applications.

The domain of eHealth is emerging alongside the advancement of information and telecommunication technologies and the need for improved healthcare services. At the same time, healthcare applications also face many challenges, such as the difficulties associated with obtaining various types of health-related information, lack of large-sized training data, or even privacy concerns. More specialized research efforts and developments are still needed to address these issues.

This Special Issue aims to provide original, high-quality, innovative ideas and research solutions (for both theoretical and practical challenges) for data analysis and modelling with the aid of artificial intelligence and machine learning in the domain of healthcare.

The key topics of interest include (but are not limited to):

  1. Artificial intelligence in healthcare;
  2. Machine learning in healthcare;
  3. Statistics;
  4. Predictive modeling;
  5. Monitoring;
  6. Data analytics;
  7. Personal health advisor;
  8. Early diagnosis.

Dr. Elias Dritsas
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Computers is an international peer-reviewed open access monthly 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 1800 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

  • machine learning
  • artificial intelligence
  • healthcare data
  • e-Health
  • prediction

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Published Papers