Deep learning and machine learning for early detection of stroke and haemorrhage

• Main Authors: Al-Mekhlafi, Zeyad Ghaleb, Mohammed Senan, Ebrahim, Rassem, Taha H., Abdulkarem Mohammed, Badiea, M. Makbol, Nasrin, Alanazi, Adwan Alownie, Almurayziq, Tariq S., A. Ghaleb, Fuad
• Format: Article
• Language: English
• Published: Tech Science Press 2022
• Subjects: QA76 Computer software
• Online Access: http://eprints.utm.my/103258/1/FuadAbdulgaleel2022_DeepLearningandMachineLearningforEarly.pdf; http://eprints.utm.my/103258/; http://dx.doi.org/10.32604/cmc.2022.024492

Stroke and cerebral haemorrhage are the second leading causes of death in the world after ischaemic heart disease. In this work, a dataset containing medical, physiological and environmental tests for stroke was used to evaluate the efficacy of machine learning, deep learning and a hybrid technique...