Cerebrovascular Patients Data for Prognosis — collection of anonymized data about patients in the cardiology department

• Date: 2026
• Main Author: Denkov, Ivan
• Format: Data
• Published: DataverseUA 2026
• Subjects: Computer and Information Science; classification problem; naive Bayes classifier; structural risk; overfitting; computational efficiency; feature space dimensionality; parallel computing
• Online Access: https://doi.org/10.48788/DVUA/VHVDAJ
• Journal Title: Open Data Repository of the National Academy of Sciences of Ukraine

The dataset includes data from 9544 patients of the cardiology department, obtained from a depersonalized fragment of the Aesculap patient visit database. Each patient's data is represented as a sparse binary 1436-dimensional vector. 1 more dimension is added to each vector - the class label. T...