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

Data Type: Binary

Dataset Scope: Standalone

Ground Truth: Known

Temporal Structure: Static

License: TBD

Missing Values: No

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)).