Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset

• Published in: Multimedia tools and applications Vol. 81; no. 29; pp. 41429 - 41453
• Main Authors: G, Thippa Reddy, Bhattacharya, Sweta, Maddikunta, Praveen Kumar Reddy, Hakak, Saqib, Khan, Wazir Zada, Bashir, Ali Kashif, Jolfaei, Alireza, Tariq, Usman
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2022; Springer Nature B.V
• Subjects: Algorithms; Artificial neural networks; Computer Communication Networks; Computer Science; Data points; Data Structures and Information Theory; Datasets; Decision making; Homogeneity; Machine learning; Multimedia Information Systems; Neural networks; Optimization; Oversampling; Paralysis; Resampling; Special Purpose and Application-Based Systems; Stroke; Imbalanced dataset; Re-sampling; Deep neural networks; Antlion optimization; Stroke prediction

Stroke is enlisted as one of the leading causes of death and serious disability affecting millions of human lives across the world with high possibilities of becoming an epidemic in the next few decades. Timely detection and prompt decision making pertinent to this disease, plays a major role which...