Detection of Right Ventricular Dysfunction Based on Pulmonary Embolism Dataset

This study included patients diagnosed with acute pulmonary embolism (PE) based on contrast-enhanced multidetector computed tomography (CT). Eligibility required the availability of echocardiography and lower-extremity venous Doppler ultrasound reports. Exclusion criteria were: pregnancy, absence of echocardiographic or Doppler studies, history of chronic thromboembolic pulmonary hypertension, known right heart dysfunction prior to PE, and age under 18 years. There are no individual characteristics (name-surname, ID number, etc.) that define the patients in our dataset. All individual data are anonymized.
Each row in the dataset provides information about a patient's characteristics. The first column shows the gender of the PE patients, the second column shows their ages, and the other columns show various characteristics used in the diagnosis of RVD. The last column shows whether the PE patients were diagnosed with RVD by the physician. This dataset contains a total of 163 cases. There are a total of 163 cases in this dataset. 62 cases are RVD-positive and 101 cases are RVD-negative.This dataset can be used in the artificial intelligence models.

Table 1. List of features indicating the range of changes in values.
№ Feature name Value range Value description
1 Sex ( 0-1 ) (1:Male, 0:Female)
2 Age ( 22-93 ) -
3 Thrombus Main Pulmonary ( 0-1 ) (1: Presence, 0: Absence)
4 Thrombus Lobe Arteries ( 0-1 ) (1: Presence, 0: Absence)
5 Thrombus Segment ( 0-1 ) (1: Presence, 0: Absence)
6 Thrombus Subsegment ( 0-1 ) (1: Presence, 0: Absence)
7 Thrombus ( 0-1 ) (1: Unilateral, 0: Bilateral)
8 DVT ( 0-1 ) (1: Presence, 0: Absence)
9 DVT Distal Ven ( 0-1 ) (1: Presence, 0: Absence)
10 DVT Proksimal Ven ( 0-1 ) (1: Presence, 0: Absence)
11 Appearance of DVT ( 0-2 ) (Absence: 0 Unilateral :1 Bilateral:
12 Comorbid Disease ( 0-1 ) (1: Presence, 0: Absence)
13 Malignancy ( 0-1 ) (1: Presence, 0: Absence)
14 Diabetes Mellitus ( 0-1 ) (1: Presence, 0: Absence)
15 Hypertension ( 0-1 ) (1: Presence, 0: Absence)
16 Coronary Artery Disease (CAD) ( 0-1 ) (1: Presence, 0: Absence)
17 COPD ( 0-1 ) (1: Presence, 0: Absence)
18 Asthma ( 0-1 ) (1: Presence, 0: Absence)
19 Cerebrovascular Occlusion ( 0-1 ) (1: Presence, 0: Absence)
20 Heart Failure ( 0-1 ) (1: Presence, 0: Absence)
*21 Right Ventricular Involvement ( 0-1 ) (1: Presence, 0: Absence)

Note: *Target variable
DVT: Deep vein thrombosis.

Please cite the following four articles when you use any of these datasets:
1) Huyut, M.T., Velichko, A., Belyaev, M. et al. Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms. Sci Rep 15, 25262 (2025). https://doi.org/10.1038/s41598-025-00274-1.
2) Huyut, M.T. et. al., "Detection of Right Ventricular Dysfunction Using LogNNet Neural Network Model Based on Pulmonary Embolism Data Set," Eastern Journal of Medicine , vol.29, no.1, pp.118-128, 2024.