Medical data analysis

We are pleased to present the contributions from the First International Symposium on Medical Data Analysis. Traditionally, this field encompasses medical statistics, survival analysis, biometrics, and medical informatics. Recently, however, advancements in time series analysis, machine learning, and data mining—utilizing techniques like neural networks, Bayes networks, and fuzzy computing—have introduced significant ideas from computer science. Despite shared goals, there has been minimal interaction among these groups. As the capacity for storing and analyzing patient data has expanded, even in smaller healthcare settings, the need for effective data management has become increasingly important. This has led to a growing demand for data exchange and presentation systems. The symposium aims to unify these relevant aspects, providing an international platform for researchers and application developers to share original research, ideas, and practical experiences related to medical data analysis. After a rigorous review process, 33 high-quality papers were selected from 45 international submissions, showcasing the diverse facets of the field and creating an engaging program.