5th Computational Health
Thematic Track at ICCS 2024

About

The field of computational science application in healthcare and medicine (H&M) is rapidly growing. Modeling and simulation, data and process mining, numerical methods, intelligent technologies provide new insights, support decision making, policy elaboration, etc. Moreover, this area gives quantitative support to emerging concepts in the area like P4-medicine (personalized, predictive, preventive, and participatory), value-based healthcare, and others. This thematic track is aimed to bring together research in computational science and intelligent technologies applied in H&M in all the diversity of scales and aspects.  

The thematic track will be a part of the International Conference on Computational Science (ICCS 2024).

Call for papers

Authors are invited to submit manuscripts reporting original, unpublished research and recent developments in computational health (see Topics below). All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services.  More details on submission process are available here.

Previous CompHealth

• 4th CompHealth at ICCS 2023, Prague, Czech Republic, July 3-5, 2023, Proceedings: Lecture Notes in Computer Science (LNCS), Vol. 10475, pp. 121-320. (link) 

• 3rd CompHealth at ICCS 2022, London, UK, June 21-23, 2022, Proceedings: Lecture Notes in Computer Science (LNCS), Vol. 13352, pp. 1-177. (link)

• 2nd CompHealth at ICCS 2021, Krakow, Poland, June 16-18, 2021, Proceedings: Lecture Notes in Computer Science (LNCS), Vol. 12744, pp. 477-741. (link) 

• 1st CompHealth at ICCS 2020, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings: Lecture Notes in Computer Science (LNCS), Vol. 12140, pp. 319-612. (link)

Topics

• Simulation and modeling in healthcare and medicine (H&M)

• Complex processes and systems in H&M

• Networks in H&M

• Uncertainty management in H&M

• Numerical methods in H&M

• Data & process mining, ML & AI in H&M

• Knowledge and data processing in H&M

• Decision support and recommending systems in H&M

• Advanced medical information systems

Program committee

Chairs

• Sergey Kovalchuk, independent researcher

• Georgiy Bobashev, RTI International, USA

• Anastasia Angelopoulou, University of Westminster, UK

• Jude Hemanth, Karunya Institute of Technology and Sciences, India

PC members

• Tesfamariam Mulugeta Abuhay, Queen's University, Canada

• Domingos Alves, University of São Paulo, Brazil

• Thierry Chaussalet, University of Westminster, UK

• Alberto Freitas, University of Porto, Portugal

• Georgy Kopanitsa, Philips, Netherlands

• Chu Kiong Loo, University of Malaya, Malaysia

• Beata Petrovski, University of Oslo, Norway

• Anna Procopio, Magna Græcia University of Catanzaro, Italy

• Rick Quax, University of Amsterdam, Netherlands

• Alexander Shukhman, Orenburg State University, Russia

• Aleksandra Vatian, ITMO University, Russia

• Wei Zhang, Huazhong University of Science and Technology, China

• Pavel Zun, University of Amsterdam, Netherlands

Key dates

Paper submission: 1 March 2024 (extended)

Notification of acceptance of papers: 1 April 2024

Camera-ready papers: 19 April 2024

Author registration: 1-19 April 2024

Conference: 2-4 July 2024

Contacts

Sergey Kovalchuk (sergey.v.kovalchuk@gmail.com)