Algorithms and Applications of Machine Learning Techniques for Healthcare

Dear Colleagues,

Improving human health and providing access to high quality healthcare for everyone is a global concern. Modern technologies help to promote and maintain health, while avoiding unnecessary disabilities and premature health issues. Machine learning is a subfield of artificial intelligence, which is mainly defined as the capability of a machine to imitate “intelligent” human behavior. This capacity its being widely applied in many areas of our lives such as virtual personal assistants, self-driving cars, security cameras, product recommendations, or disaster alerts. With the union of machine learning and healthcare, researchers around the world have opened new horizons providing impressive advances in healthcare. Thus, a great number of works focus on areas such as patient diagnosis, automating health related tasks, new treatments and drugs, improvements in diagnosis, cost reduction, better tracking, or telemedicine. However, despite the huge amount of work carried out, we are still very far from being able to considerer machine learning to be integrated into healthcare. The aim of this Special Issue is to enhance the state-of-the-art in this area significantly, improving the application of machine learning techniques for healthcare. We encourage authors across the world to submit their original and unpublished works. We have a special interest in works focusing on the topics listed below, but are open to other works that fit the theme of the Special Issue.

Dr. Edward Rolando Núñez-Valdez
Guest Editor

Manuscript Submission Information

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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. Algorithms 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 1600 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.

• machine learning for healthcare
• decision-making in healthcare
• extended access to healthcare
• computer vision in healthcare
• natural language processing in healthcare
• machine-learning-based disease diagnosis
• automation of tasks in healthcare