Special Session on Innovative use of Machine Learning and Deep Learning for HealthCare Empowerment
at the 14th International Conference on Computational Collective Intelligence (ICCCI 2022)
Hammamet, Tunisia, September 28-30, 2022
Conference website: https://iccci.pwr.edu.pl/2022/download/ICCCI_2022_Special_Session_(Innov-Healthcare_2022)_CFP_v.1.0.pdf


Machine learning has gained a lot of popularity and acceptance in recent years. We are witnessing a rapid digital transformation and the adoption of disruptive technology across different industries. Healthcare was one of the potential sectors that gained many benefits from deploying disruptive technologies. Machine learning, and deep learning have become an imperative part of the sector. They have a huge impact in healthcare and they have enabled the sector to improve patient monitoring and diagnostics. In addition, the use of multimodal information with the several machine learning types has empowered healthcare and many advacements were achieved not only in supervised and unsupervised learning, but also by using semi-supervised and reinforcement learning methods. Other approaches are especially very helpful in healthcare research such as domain adaptation, transfer learning, generative and adversarial learning, etc. This Special Session on Innovative use of Machine Learning and Deep Learning for Healthcare Empowerment (Innov-Healthcare 2022) at the 14th International Conference on Computational Collective Intelligence (ICCCI 2022) aims to bring together two usually insular disciplines: computer scientists with artificial intelligence, machine learning, and deep learning expertise, and clinicians/medical researchers.


Submissions offering proof studies representing clinical relevance and original applications are encouraged as much as novel methodological contributions. The Innov-Healthcare 2022 topics of interest deal with, but are not limited to, the use of different types of machine learning methods for:

• Health monitoring based on face, gesture, body analysis;
• Depression & Anxiety analysis based on visual features;
• Physiological measurement employing face analytics;
• Databases on health monitoring;
• Healthcare at home;
• Cognition based technology;
• Emotional hearing and understanding;
• Privacy preserving systems;
• Quality of life based technologies;
• Applications for the visually impaired;
• Sign language recognition and applications for hearing impaired;
• Egocentric and first-person vision;
• Assessing physical and/or cognitive ability based on face and body movement analysis;
• Applications to improve health and wellbeing of children and elderly;
• Neurodegenerative pathology diagnosis and monitoring;
• Medical Images Segmentation, Analysis and Representation, etc.



Submission

All contributions should be original and not published elsewhere or intended to be published during the review period. Authors are invited to submit their papers electronically in pdf format, through EasyChair. All the special sessions are centralized as tracks in the same conference management system as the regular papers. Therefore, to submit a paper please activate the following link and select the track: Innov-Healthcare 2022: Special Session on Innovative use of Machine Learning and Deep Learning for Healthcare Empowerment.
https://easychair.org/conferences/?conf=iccci20220

Authors are invited to submit original previously unpublished research papers written in English, of up to 13 pages, strictly following the LNCS/LNAI format guidelines. Authors can download the Latex (recommended) or Word templates available at Springer's website. Submissions not following the format guidelines will be rejected without review. To ensure high quality, all papers will be thoroughly reviewed by the Innov-Healthcare 2022 Program Committee. All accepted papers must be presented by one of the authors who must register for the conference and pay the fee. The conference proceedings will be published by Springer in the prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI Web of Science, EI, ACM Digital Library, dblp, Google Scholar, Scopus, etc.).