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Stroke Detection Using Machine Learning
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| Author:
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REVANTH MANUBOLU, DILEEP MANDEPUDI, L. SUJIHELEN
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| Abstract:
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Stroke is the consequent motive for death worldwide. The medication is based on the area and level of stroke, and should be started within 1 hour of the assault. Fast position is an absolute requirement in this manner. This eventuality is designed to identify the occurrence of stroke in patients who have a heavy risk of stroke or earlier had a stroke. The Mind Stroke Symptoms are Disorder with Talking and Comprehension, Migraine, Loss of consciousness or Face, Arm or Leg Deadness. This proposed system is used to detect the stroke early by using SVMs and Random Forest. The proposed system detect the stroke with high detection rate when compared with the existing system.
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| Keyword:
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medications, Migraine, Symptoms, Random Forest, SVM.
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2020.12.03.156
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| Download:
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Request For Article
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