Stroke prediction dataset kaggle. There were 5110 rows and 12 columns in this dataset.

Stroke prediction dataset kaggle - ajspurr/stroke_prediction Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Nov 21, 2023 · 12) stroke: 1 if the patient had a stroke or 0 if not *Note: "Unknown" in smoking_status means that the information is unavailable for this patient. csv. The Kaggle dataset [ 4 ], used here, includes demographic information, medical history, lifestyle factors, and physiological measurements from patients. g. Summary without Implementation Details# This dataset contains a total of 5110 datapoints, each of them describing a patient, whether they have had a stroke or not, as well as 10 other variables, ranging from gender, age and type of work Mar 18, 2021 · Accuracy isn’t going to be a great metric here, and as such, Kaggle is scoring models for this dataset using f-1. 0 — I don’t think that’s going to get us on the Mar 7, 2025 · Dataset Source: Healthcare Dataset Stroke Data from Kaggle. The dataset is in CSV format and contains 5110 observations with 11 variables, of which 10 are independent, and 1 is the target . Explore and run machine learning code with Kaggle Notebooks | Using data from Brain Stroke Dataset 🧠Brain Stroke Prediction | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Stacking. Stroke prediction dataset. 70,692 survey responses from cleaned BRFSS 2015 Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Exploratory Data Analysis & Pre Stroke prediction with machine learning and SHAP algorithm using Kaggle dataset - Silvano315/Stroke_Prediction. Brain cells gradually die because of interruptions in blood supply and other nutrients to the brain, resulting in disabilities, depending on the affected region. Apr 18, 2023 · A cerebral stroke is a medical problem that occurs when the blood flowing to a section of the brain is suddenly cut off, causing damage to the brain. The dataset’s objective is to estimate the probability of stroke occurring in patients using various input parameters. 5110 observations with 12 characteristics make up the data. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. These features are selected based on our earlier discussions. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Prediction of Strokes 🧠 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 3. There were 5110 rows and 12 columns in this dataset. Stroke Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset stroke prediction. Stroke_Prediction_6ML_models：该项目使用六个机器学习模型（XGBoost，随机森林分类器，支持向量机，逻辑回归，单决策树分类器和TabNet）进行笔画预测。 为此，我使用了Kaggle的“ healthcare-dataset-stroke-data”。 为了确定哪种模型最适合进行笔画预测，我绘制了每种模型 Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. The dataset consists of over $5000$ individuals and $10$ different input variables that we will use to predict the risk of stroke. Jan 6, 2025 · Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Playground Series - Season 3, Episode 2 Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more. This dataset consists of 5110 instances and encompasses 12 attributes. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset. The dataset is a typical class imbalanced type and contains 11 features, where 783 occurrences of stroke were included in a total of 43,400 recorded samples Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 2. This project uses machine learning to predict brain strokes by analyzing patient data, including demographics, medical history, and clinical parameters. These metrics included patients’ demographic data (gender, age, marital status, type of work and residence type) and health records (hypertension, heart disease, average glucose level measured after meal, Body Mass Index (BMI), smoking status and experience of stroke). So, ethical approval is not required for this dataset. The output attribute is a binary column titled “stroke”, with 1 indicating the patient had a stroke, and 0 indicating they did not. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Sep 11, 2022 · The paper is structured as follows: Section 2 introduces the cause and problem of stroke in the US population; Section 3 discusses the steps of a data science project; Section 4 introduces Machine Learning as a tool to make predictions; finally, Section 5 applies all these analyses to a data set of stroke patients to make predictions. We use prin- Nov 22, 2024 · 2. Explore and run machine learning code with Kaggle Notebooks | Using data from Binary Classification with a Tabular Stroke Prediction Dataset Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Dataset containing Stroke Prediction metrics. A. This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, and various diseases and smoking status. 1 Cerebral Stroke Prediction Dataset (CSP) In this study, the CSP dataset sourced from Kaggle was utilized to predict stroke disease. 3. Mar 15, 2024 · Stroke prediction dataset, which is collected from the Kaggle repository, is a well-known secondary dataset. In the following subsections, we explain each stage in detail. The benchmarks section lists all benchmarks using a given dataset or any of its Jun 25, 2020 · Authors of [12] tested various models on the dataset provided by Kaggle for stroke prediction. 2. The goal is to provide accurate predictions for early intervention, aiding healthcare providers in improving patient outcomes and reducing stroke-related complications. Using a publicly available dataset of 29072 patients’ records, we identify the key factors that are necessary for stroke prediction. In this paper, we perform an analysis of patients’ electronic health records to identify the impact of risk factors on stroke prediction. Explore and run machine learning code with Kaggle Notebooks | Using data from Binary Classification with a Tabular Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. json) using the provided code snippet. Stroke dataset for better results. Early recognition and detection of symptoms can aid in the rapid treatment of Jan 9, 2025 · The signs and symptoms of heart disease in patients who have recently been diagnosed or who are at risk of getting the condition are described in this dataset. Dataset. There are 5110 rows in all, along with 12 columns. , ischemic or hemorrhagic stroke [1]. The target variable, called “stroke”, indicates whether there is a risk of stroke or not. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. DataSet Description: The Kaggle stroke prediction dataset contains over 5 thousand samples with 11 total features (3 continuous) including age, BMI, average glucose level, and more. Explore and run machine learning code with Kaggle Notebooks | Using data from National Health and Nutrition Examination Survey Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Dec 8, 2020 · The dataset consisted of 10 metrics for a total of 43,400 patients. Stacking [] belongs to ensemble learning methods that exploit several heterogeneous classifiers whose predictions were, in the following, combined in a meta-classifier. . May 19, 2024 · PDF | On May 19, 2024, Viswapriya Subramaniyam Elangovan and others published Analysing an imbalanced stroke prediction dataset using machine learning techniques | Find, read and cite all the This repository contains a Deep Learning model using Convolutional Neural Networks (CNN) for predicting strokes from CT scans. The complete list of recorded variables of the patients are: Using the “Stroke Prediction Dataset” available on Kaggle, our primary goal for this project is to delve deeper into the risk factors associated with stroke. Priyanka and Meera [24] proposed a hybrid method for detecting stroke using the Stroke Prediction Dataset from Kaggle. Unzip the dataset Feb 1, 2025 · Eight machine learning algorithms are applied to predict stroke risk using a well-curated dataset with pertinent clinical information. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The data pre-processing techniques inoculated in the proposed model are replacement of the missing Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. DataFrame'> Int64Index: 4088 entries, 25283 to 31836 Data columns (total 10 columns): # Column Non-Null Count Dtype --- ----- ----- ----- 0 gender 4088 non-null object 1 age 4088 non-null float64 2 hypertension 4088 non-null int64 3 heart_disease 4088 non-null int64 4 ever_married 4088 non-null object 5 work_type 4088 non-null object 6 Residence_type 4088 non-null Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Nov 13, 2022 · It is a competition on kaggle with stroke Prediction, which is heavily imbalanced. 11 clinical features for predicting stroke events. gov, which is also utilized as the benchmark dataset in a Kaggle competition 2 with details listed as Table 1. Updated Mar 30, 2022; Explore and run machine learning code with Kaggle Notebooks | Using data from Brain stroke prediction dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Domain Conception In this stage, the stroke prediction problem is studied, i. Identify Stroke on Imbalanced Dataset . Download the Stroke Prediction Dataset from Kaggle using the Kaggle API. The number 0 indicates that no stroke risk was identified, while the value 1 indicates that a stroke risk was detected. Brain Stroke Dataset Classification Prediction. Machine Learning project using Kaggle Stroke Dataset where I perform exploratory data analysis, data preprocessing, classification model training (Logistic Regression, Random Forest, SVM, XGBoost, KNN), hyperparameter tuning, stroke prediction, and model evaluation. We also provide benchmark performance of the state-of-art machine learning algorithms for predicting stroke using electronic health records. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset This project aims to predict the likelihood of stroke using a dataset from Kaggle that contains various health-related attributes. INTRODUCTION Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The model aims to assist in early detection and intervention of strokes, potentially saving lives and improving patient outcomes. OK, Got it. We aim to identify the factors that con Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Each row in the data provides relevant information about the patient; there are 5110 observations with 12 features. Stroke Risk Prediction Dataset – Clinically-Inspired Symptom & Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Explore and run machine learning code with Kaggle Notebooks | Using data from Brain stroke prediction dataset 🧠Brain stroke prediction 82% F1-score🧠 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. We have an f-1 score of 0. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. core. Feature selection was used and the features were prioritized based on well they Nov 1, 2022 · Here we present results for stroke prediction when all the features are used and when only 4 features (A, H D, A G and H T) are used. machine-learning neural-network python3 pytorch kaggle artificial-intelligence artificial-neural-networks tensor kaggle-dataset stroke-prediction. Apr 25, 2022 · intelligent stroke prediction framework that is based on the data analytics lifecycle [10]. Kaggle is an AirBnB for Data Scientists. May 1, 2024 · Sailasya and Kumari [23] used the LR, DT, RF, NB, SVM, and KNN for stroke prediction and found that the NB achieved the highest accuracy (82%). Dec 13, 2024 · The dataset used in this analysis is publicly available in Kaggle’s Stroke Prediction Dataset . Sep 15, 2022 · We set x and y variables to make predictions for stroke by taking x as stroke and y as data to be predicted for stroke against x. Jun 13, 2021 · Download the Stroke Prediction Dataset from Kaggle and extract the file healthcare-dataset-stroke-data. We employ multiple machine learning and deep learning models, including Logistic Regression, Random Forest, and Keras Sequential models, to improve the prediction accuracy. Jan 20, 2023 · To gauge the effectiveness of the algorithm, a reliable dataset for stroke prediction was taken from the Kaggle website. Explore and run machine learning code with Kaggle Notebooks | Using data from Brain stroke prediction dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Risk Prediction Dataset Based on Symptoms Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 0. Helsenorge - Stroke (Hjerneslag) The dataset stems from Kaggle - Stroke Prediction and records several details about over 5000 patients along with whether they have experienced a stroke. The input variables are both numerical and categorical and will be explained below. Fig. Brain stroke prediction dataset. 9. frame. The following categories are represented in the Upload your Kaggle API key (kaggle. Jan 26, 2021 · 11 clinical features for predicting stroke events Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The value of the output column stroke is either 1 or 0. Aug 22, 2021 · The Kaggle dataset is used to predict whether a patient is likely to get a stroke based on dependent variables like gender, age, various health conditions, and smoking status. In this paper, we attempt to bridge this gap by providing a systematic analysis of the various patient records for the purpose of stroke prediction. 背景描述. It’s a crowd- sourced platform to attract, nurture, train and challenge data scientists from all around the world to solve data science, machine learning and predictive analytics problems. - AkramOM606/DeepLearning-CNN-Brain-Stroke-Prediction Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Make sure you have downloaded your API key from your Kaggle account settings. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset to study the inter-dependency of different risk factors of stroke. The dataset contains eleven clinical traits that can be used Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. , Stroke dataset), which is 2-4 times outperform Kaggle’s work. Focal Loss work best for the limited size of a large severe imbalanced dataset (e. x = df. Stroke Risk Prediction Dataset (Medical AI) – Version 2. Jan 7, 2024 · Firstly, I’ve downloaded the Brain Stroke Prediction dataset from Kaggle, which you can easily do by going to the datasets section on Kaggle’s website and googling Brain Stroke Prediction. Several classification models, including Extreme Gradient Boosting (XGBoost Sep 18, 2024 · Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. This study was sourced from Kaggle’s Stroke Prediction Dataset. Sep 21, 2021 · <class 'pandas. This paper describes a thorough investigation of stroke prediction using various machine learning methods. Keywords: imbalanced dataset, stroke prediction, ensemble weight voting classifier, SMOTE, Focal Loss with DNN, PCA-Kmeans 1. Aug 28, 2021 · So, framing the prediction we are targeting: is a patient likely to have a stroke or not have a stroke based on the categorical data from the patient records. e. The stroke prediction dataset was used to perform the study. Stages of the proposed intelligent stroke prediction framework. Acknowledgements (Confidential Source) - Use only for educational purposes If you use this dataset in your research, please credit the author. Sep 1, 2023 · The Kaggle database, a popular platform for data science competitions, contains a comprehensive dataset that can be used to develop and validate AI models for stroke prediction. In addition to the features, we also show results for stroke prediction when principal components are used as the input. A subset of the original train data is taken using the filtering method for Machine Learning and Data Visualization purposes. 根据世界卫生组织(who)的数据，中风是全球第二大死亡原因，约占总死亡人数的11% 。这个数据集被用来根据输入的参数如性别、年龄、各种疾病和吸烟状况来预测病人是否可能得中风。 The Dataset Stroke Prediction is taken in Kaggle. drop(['stroke'], axis=1) y = df['stroke'] 12. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset where P k, c is the prediction or probability of k-th model in class c, where c = {S t r o k e, N o n − S t r o k e}. Explore and run machine learning code with Kaggle Notebooks | Using data from Binary Classification with a Tabular Stroke Prediction Dataset In this project, we will attempt to classify stroke patients using a dataset provided on Kaggle: Kaggle Stroke Dataset. Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Explore and run machine learning code with Kaggle Notebooks | Using data from Stroke Prediction Dataset Explore and run machine learning code with Kaggle Notebooks | Using data from Brain Stroke CT Image Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Dataset availability statement Nov 1, 2019 · In this study, the original dataset of stroke is collected from HealthData. stroke prediction dataset. There is a dataset called Kaggle’s Stroke Prediction Dataset . kuohoh kboi xyubse bslztk gjbnsjc qzvhxa mmud waus vha ixir gcg wlnvl jsblz xjgzn ujrpo