Connectionists: [Computers] (ISSN 2073-431X) Special Issue "Advances of Machine and Deep Learning in the Health Domain"--Call for Paper

[Mr. Blink Yu]

[Apologies if you receive multiple copies of this message]
====================================

Special Issue "Advances of Machine and Deep Learning in the Health Domain"
Deadline for manuscript submissions: 30 June 2022.
Guest Editor: Dr. Antonio Celesti
MIFT Department, University of Messina, Viale F. Stagno d'Alcontres, 31
98166 Messina, Italy
Dr. Ivanoe De Falco
Institute of High Performance Computing and Networking of National
Research Council (ICAR-CNR), 80131 Naples, Italy
Dr. Antonino Galletta
MIFT Department, University of Messina, 98166 Messina, Italy
Dr. Giovanna Sannino
Institute of High Performance Computing and Networking – National
Research Council of Italy (ICAR-CNR), 80131 Naples, Italy
https://www.mdpi.com/journal/computers/special_issues/AI_health_2022
===========================================
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 Edito


--
Mr. Blink Yu
Managing Editor
E-Mail: blink.yu at mdpi.com
Skype: live:c91693ac8277e1f0
-- 
MDPI Wuhan Office
No.6 Jingan Road, 430064 Wuhan, China
http://www.mdpi.com
-- 
Disclaimer: MDPI recognizes the importance of data privacy and
protection. We treat personal data in line with the General Data
Protection Regulation (GDPR) and with what the community expects of us.
The information contained in this message is confidential and intended
solely for the use of the individual or entity to whom they are
addressed. If you have received this message in error, please notify me
and delete this message from your system. You may not copy this message
in its entirety or in part, or disclose its contents to anyone.