Asia Lung Diseases

This synthetic datset is about lung diseases and visits to Asia. It was introduced in Lauritzen and Spiegelhalter (1988). Task: The dataset can be used to study causal discovery algorithms. Summary: Size of dataset: 5,000 x 6 Task: Causal Discovery Problem Data Type: Binary Data Dataset Scope: Standalone Dataset Ground Truth: Known Graph Temporal Structure: Static Data License: CC0 (generated for bnlearn) Missing Values: No Missing Values Missingness Statement: There are no missing values. Features: D: Dyspnoea (yes / no) T: Tuberculosis (yes / no) L: Lung cancer (yes / no) B: Bronchitis (yes / no) A: Visit to Asia (yes / no) S: Smoking (yes / no) X: Chest X-ray (yes / no) E: Tuberculosis versus lung cancer/bronchitis (yes / no) Files: asia.csv: dataset ground_truth.csv: DAG used for data generation (Lauritzen and Spiegelhalter (1988)). asia.bif: Bayesian Network from (Scutari (2010), License CC BY-SA 3.0). The network was used for data generation in Lauritzen and Spiegelhalter (1988).