Advances of Machine and Deep Learning in the Health Domain

Dear Colleagues,

The 1st edition of the IEEE International Conference on ICT Solutions for eHealth (ICTS4eHealth) will be held on 5–8 September 2021 in Athens (Greece) in conjunction with the 26th IEEE Symposium on Computers and Communications (ISCC).

For more information about the conference, please use this link:

https://www.icts4ehealth.icar.cnr.it/

Machine and Deep Learning deal with data, and one of their goals is to extract information and related knowledge that is hidden in them in order to make detections and/or predictions and, subsequently, take decisions. With the terms “Machine and Deep Learning”, we cover a wide range of theories, methods, algorithms, and architectures that are used to this end.

This Special Issue will cover promising developments in the related areas of machine and deep learning applied to the health domain and offer possible paths for the future.

The authors of selected papers that are presented at the International IEEE ICTS4eHealth Conference 2021 are invited to submit their extended versions to this Special Issue of the journal Computers after the conference. Submitted papers should be extended to the size of regular research or review articles, with at least 50% extension of new results. All submitted papers will undergo our standard peer-review procedure. Accepted papers will be published in open access format in Computers and collected together in this Special Issue’s website. Accepted extended papers will be free of charge. There are no page limitations for this journal.

We are also inviting original research work covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in artificial intelligence in the health domain.

The main topics include but are not limited to:

• Knowledge management of health data;
• Data mining and knowledge discovery in healthcare;
• Machine and deep learning approaches for health data;
• Explainable ai models for health, biology, and medicine;
• Decision support systems for healthcare and wellbeing;
• AI for precision medicine;
• Optimization for healthcare problems;
• Regression and forecasting for medical and/or biomedical signals;
• Healthcare information systems;
• Wellness information systems;
• Medical signal and image processing and techniques;
• Medical expert systems;
• Diagnoses and therapy support systems;
• Biomedical applications;
• Applications of AI in healthcare and wellbeing systems;
• machine learning-based medical systems;
• medical data and knowledge bases;
• neural networks in medicine;
• ambient intelligence and pervasive computing in medicine and healthcare;
• AI in genomics;
• AI for healthcare social networks.

Dr. Antonio Celesti
Dr. Ivanoe De Falco
Dr. Antonino Galletta
Dr. Giovanna Sannino
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 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.