Mesothelioma's disease data set
Donated on 1/10/2016
Mesothelioma’s disease data set were prepared at Dicle University Faculty of Medicine in Turkey. Three hundred and twenty-four Mesothelioma patient data. In the dataset, all samples have 34 features.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real
# Instances
324
# Features
-
Dataset Information
Additional Information
Malignant mesotheliomas (MM) are very aggressive tumors of the pleura. These tumors are connected to asbestos exposure, however it may also be related to previous simian virus 40 (SV40) infection and quite possible for genetic predisposition. Molecular mechanisms can also be implicated in the development of mesothelioma. Rural living is associated with the development of mesothelioma. Soil mixtures containing asbestos, known as ‘white-soil’ or ‘corak’ can be found in Anatolia, Turkey and ‘Luto’ in Greece. Mesothelioma’s disease data set were prepared at Dicle University Faculty of Medicine in Turkey. Three hundred and twenty-four Mesothelioma patient data. In the dataset, all samples have 34 features.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 10 of 34
Additional Variable Information
The features are; age, gender, city, asbestos exposure, type of MM, duration of asbestos exposure, diagnosis method, keep side, cytology, duration of symptoms, dyspnoea, ache on chest, weakness, habit of cigarette, performance status, White Blood cell count (WBC), hemoglobin (HGB), platelet count (PLT), sedimentation, blood lactic dehydrogenise (LDH), Alkaline phosphatise (ALP), total protein, albumin, glucose, pleural lactic dehydrogenise, pleural protein, pleural albumin, pleural glucose, dead or not, pleural effusion, pleural thickness on tomography, pleural level of acidity (pH), C-reactive protein (CRP), class of diagnosis.
Dataset Files
| File | Size |
|---|---|
| Mesothelioma data set.xlsx | 70.7 KB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset mesothelioma_s_disease_data_set = fetch_ucirepo(id=351) # data (as pandas dataframes) X = mesothelioma_s_disease_data_set.data.features y = mesothelioma_s_disease_data_set.data.targets # metadata print(mesothelioma_s_disease_data_set.metadata) # variable information print(mesothelioma_s_disease_data_set.variables)
Tanrikulu, A. & Er, O. (2012). Mesothelioma's disease data set [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5903T.
Creators
Abdullah Tanrikulu
Orhan Er
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.