An Improved Concatenation of Deep Learning Models for Predicting and Interpreting Ischemic Stroke
Sapiah Sakri,
Shakila Basheer,
Zuhaira Muhammad Zain
et al.
Abstract:Early detection of stroke warning symptoms can help reduce the severity of ischemic stroke, the leading cause of mortality and disability worldwide. This study aims to develop a model to predict the disease by leveraging machine learning-based models. A model that concatenates a convolutional neural network and a long short-term memory was developed as the proposed model. Seven other classifiers were treated as the baseline models: logistic regression, random forest, extreme gradient boosting, k-nearest neighb… Show more
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