After applying Exploratory Data Analysis and Feature Engineering, the stroke prediction is done by using ML algorithms including Ensembling methods. 100% accuracy is reached in this notebook. The dataset is taken fromhttps://www.kaggle.com/datasets/jillanisofttech/brain-stroke-dataset. Also, the no...
(2020). Brain tumor segmentation and survival prediction using 3D attention UNet. In Brain Lesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected ...
These models were implemented on a combination of Kaggle stroke and Parkinson brain diseases dataset. The performance evaluation of these algorithms computed according to different metrics including precision, recall, f1-score, AUC and accuracy. The accuracy of these models was 97.04% for XGBoost, ...
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Explore and run machine learning code with Kaggle Notebooks | Using data from Brain stroke prediction dataset
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Explore and run machine learning code with Kaggle Notebooks | Using data from Brain stroke prediction dataset
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Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more OK, Got it.Mohammed Akheel S B · 1y ago· 744 views arrow_drop_up9 Copy & Edit17 more_vert Random Forest - Brain stroke predictionNote...