Advanced Classification of Ischemic and Hemorrhagic Stroke Using Deep Learning Framework
摘要
When BLD (blood) artery inside BRN (brain) breaks or the flow of BLD in BRN ceases, BRN attack, also known as STRK (stroke), occurs. In both cases, BRN tissue is either destroyed or injured. A STRK can result in death, irreversible disability, or chronic BRN damage. 15 million STRK victims occur globally each year. Of them, 5 million passes away and five million people have chronic disabilities, which burden their communities and families. Variations in the occurrence of STRK types are related to gender. Men had greater risks of hemorrhagic STRK, whereas cerebral aneurysms occur more frequently in women, and subarachnoid hemorrhage occurs significantly more frequently in them. Males are more likely than females to get a STRK earlier in life. But in later age groups, the chance of having a STRK is greater in females. In this work, we have used deeplearning4j classifier to effectively classify HEM (hemorrhagic) and ISC (ischemic) STRK in WEKA workbench.