Buchumschlag

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

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Datum:2026
1. Verfasser: Denkov, Ivan
Format: Data
Veröffentlicht: DataverseUA 2026
Schlagworte:
Computer and Information Science
classification problem
naive Bayes classifier
structural risk
overfitting
computational efficiency
feature space dimensionality
parallel computing
Online Zugang:https://doi.org/10.48788/DVUA/VHVDAJ
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Назва журналу:Open Data Repository of the National Academy of Sciences of Ukraine

Institution

Open Data Repository of the National Academy of Sciences of Ukraine
Beschreibung
Zusammenfassung: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. The dataset is intended for testing, validation and comparative analysis of algorithms that solve the classification problem. The dataset is suitable for use in educational purposes and scientific research.

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