[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@mdpi.com Skype: live:c91693ac8277e1f0
Dear all,
I am currently out of office taking a pause from emails until June 30th. To avoid being overwhelmed by the email backlog, I will not read or reply to any email sent to me during this period.
If your email is still relevant after June 30th, please send it again.
Best regards, Mohsen
On Jun 22, 2022, at 11:22 AM, Mr. Blink Yu via Corpora corpora@list.elra.info wrote:
[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@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. _______________________________________________ UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora Corpora mailing list -- corpora@list.elra.info To unsubscribe send an email to corpora-leave@list.elra.info