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 2023).

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Authors are invited to submit manuscripts reporting original, unpublished research and recent developments in computational health (see Topics below).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.

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