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26 Data Sets

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1. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database

2. Divorce Predictors data set: Participants completed the “Personal Information Form” and “Divorce Predictors Scale”.

3. Refractive errors: Effect of life style and genetic on eye refractive errors.

4. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.

5. Autistic Spectrum Disorder Screening Data for Children : Children screening data for autism suitable for classification and predictive tasks

6. Autistic Spectrum Disorder Screening Data for Adolescent : Autistic Spectrum Disorder Screening Data for Adolescent. This dataset is related to classification and predictive tasks.

7. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls.

8. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale.

9. Heart failure clinical records: This dataset contains the medical records of 299 patients who had heart failure, collected during their follow-up period, where each patient profile has 13 clinical features.

10. Amphibians: The dataset is a multilabel classification problem. The goal is to predict the presence of amphibians species near the water reservoirs based on features obtained from GIS systems and satellite images

11. Thoracic Surgery Data: The data is dedicated to classification problem related to the post-operative life expectancy in the lung cancer patients: class 1 - death within one year after surgery, class 2 - survival.

12. Bone marrow transplant: children: The data set describes pediatric patients with several hematologic diseases, who were subject to the unmanipulated allogeneic unrelated donor hematopoietic stem cell transplantation.

13. HCV data: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age.

14. Cervical cancer (Risk Factors): This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records.

15. Early biomarkers of Parkinsons disease based on natural connected speech: Predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson’s disease and patients at high risk developing Parkinson’s disease.

16. extention of Z-Alizadeh sani dataset: It was collected for CAD diagnosis.

17. Z-Alizadeh Sani: It was collected for CAD diagnosis.

18. HCC Survival: Hepatocellular Carcinoma dataset (HCC dataset) was collected at a University Hospital in Portugal. It contains real clinical data of 165 patients diagnosed with HCC.

19. ILPD (Indian Liver Patient Dataset): This data set contains 10 variables that are age, gender, total Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT and Alkphos.

20. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database

21. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database

22. Algerian Forest Fires Dataset : The dataset includes 244 instances that regroup a data of two regions of Algeria.

23. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies.

24. Parkinsons: Oxford Parkinson's Disease Detection Dataset

25. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast.

26. Fertility: 100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits


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