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Deep Learning for Ischemic Stroke Prediction by Indrani Kukkadapu is a document available to read on EtoBox.

What is Deep Learning for Ischemic Stroke Prediction about?

The document discusses the development of an optimized deep learning model for predicting and interpreting ischemic stroke outcomes using machine learning algorithms, particularly a convolutional neural network (CNN) combined with long short-term memory (LSTM). It highlights the importance of data preprocessing, including handling class imbalance and feature engineering, to enhance prediction accuracy. The proposed system achieved a remarkable 99.3% accuracy, suggesting its potential for integration into he

Author

Indrani Kukkadapu

Language

EN