Brain_stroke_prediction_using_machine_learning

Stroke is a disease that affects the arteries leading to and within the brain. A stroke occurs when a blood vessel that carries oxygen and nutrients to the brain is either blocked by a clot or ruptures. According to the WHO, stroke is the 2nd leading cause of death worldwide. Globally, 3% of the population are affected by subarachnoid hemorrhage, 10% with intracerebral hemorrhage, and the majority of 87% with ischemic stroke. 80% of the time these strokes can be prevented, so putting in place proper education on the signs of stroke is very important. The existing research is limited in predicting risk factors pertained to various types of strokes. Early detection of stroke is a crucial step for efficient treatment and ML can be of great value in this process. To be able to do that, Machine Learning (ML) is an ultimate technology which can help health professionals make clinical decisions and predictions. During the past few decades, several studies were conducted on the improvement of stroke diagnosis using ML in terms of accuracy and speed. The existing research is limited in predicting whether a stroke will occur or not. Machine Learning techniques including Random Forest, KNN , XGBoost , Catboost and Naive Bayes have been used for prediction.Our work also determines the importance of the characteristics available and determined by the dataset.Our contribution can help predict early signs and prevention of this deadly disease
Alternatives To Brain_stroke_prediction_using_machine_learning
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Ml For Beginners63,698
5 months ago23mitHTML
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Keras61,13769710 days ago87December 06, 2023183apache-2.0Python
Deep Learning for humans
Scikit Learn57,16018,94411,4805 months ago73October 23, 20232,295bsd-3-clausePython
scikit-learn: machine learning in Python
Made With Ml36,177
6 months ago5May 15, 20196mitJupyter Notebook
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Airflow34,4683202 months ago169November 27, 2023890apache-2.0Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit29,794171,2285 months ago212November 30, 2023712apache-2.0Python
Streamlit — A faster way to build and share data apps.
Ray29,596803635 months ago95December 04, 20233,528apache-2.0Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Spacy28,6281,5331,3672 months ago226October 16, 2023103mitPython
💫 Industrial-strength Natural Language Processing (NLP) in Python
Ai Expert Roadmap27,583
6 months ago17mitJavaScript
Roadmap to becoming an Artificial Intelligence Expert in 2022
Pytorch Lightning27,071
a month ago713apache-2.0Python
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Alternatives To Brain_stroke_prediction_using_machine_learning
Select To Compare


Alternative Project Comparisons
Popular Machine Learning Projects
Popular Data Science Projects
Popular Machine Learning Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Jupyter Notebook
Machine Learning
Data Science
Data Analysis