68 datasets found

Licenses: Creative Commons Attribution

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  • Analysis of Coronary Artery Disease Risk Factors

    Welcome to the UCI Machine Learning Repository, where you can find hundreds of datasets curated by experienced researchers for use in predictive and inferential analyses. Today,...
  • Cancer Rates

    Explanation of field attributes: Colorectal Cancer - Cancer that develops in the colon (the longest part of the large intestine) and/or the rectum (the last several inches of...
  • Coronary Artery Disease - Analysis

    Heart Failure: The datasets shows that 66% patients who have heart failure have CAD. This is the highest among the rest of the 26 diseases/habits that potentially increase the...
  • Stroke Prediction Dataset

    [HIGHLIGHTED] CERN Electron Collision Data ☄️LINK Hepatitis C Dataset: LINK Body Fat Prediction Dataset: LINK Cirrhosis Prediction Dataset: LINK Heart Failure Prediction...
  • Cleveland Clinic Heart Disease Dataset

    Coronary heart disease (CHD) involves the reduction of blood flow to the heart muscle due to build-up of plaque in the arteries of the heart. It is the most common form of...
  • Coronary_prediction

    A practice data set from kaggle. Data comes with missing values. Some cleaning and wrangling required. Create classification models to solve issue of identifying patient with...
  • Heart Disease Health Indicators Dataset

    Heart Disease is among the most prevalent chronic diseases in the United States, impacting millions of Americans each year and exerting a significant financial burden on the...
  • Cancer Probabilities

    Purpose: The dataset is designed to explore the potential relationship between lifestyle habits and the probability of developing cancer. Variables: Sr No.: A unique identifier...
  • Logistic Regression - Heart Disease Prediction

    World Health Organization has estimated 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the United States and other developed countries...
  • Lung Cancer Dataset

    The Lung Cancer Dataset includes a diverse array of symptoms essential for comprehensive analysis and model development. The primary categories of data are as follows: Patient...
  • Coronary_Artery_Disease

    It includes the original data available from the source which can be used for visualization and understanding.
  • Breast Cancer Prediction Dataset

    Worldwide, breast cancer is the most common type of cancer in women and the second highest in terms of mortality rates.Diagnosis of breast cancer is performed when an abnormal...
  • Urinary Incontinence

    Effect of Maximum Repetition of Pelvic Floor Stabilization Exercise in Stress Urinary Incontinence (SUI)
  • Cervical Cancer Risk Classification

    Cervical Cancer Risk Factors for Biopsy: This Dataset is Obtained from UCI Repository and kindly acknowledged! This file contains a List of Risk Factors for Cervical Cancer...
  • Heart Disease Dataset

    This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been...
  • Heart-Disease-Dataset

    This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been...
  • Cancer

    The Definition of Cancer Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Cancer can start almost anywhere in the...
  • Classification of Coronary Artery Disease

    The Z-Alizadeh Sani dataset is one of the most common datasets used in machine learning for automatic CAD detection. This dataset contains 303 samples (216 CAD patients and 87...
  • Cancer Patients Data

    Context Many people's lives are cut short due to cancer. However, due to the age of big data we are able to combat this malicious disease. Content In this dataset you will find...
  • Prostate Cancer

    This is the dataset of 100 patients to implement the machine learning algorithm and thereby interpreting results The data set consists of 100 observations and 10 variables (out...
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