Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning

Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning

Machine learning is a powerful technique for analysing datasets and making data-driven recommendations. However, in general, the performance of machine learning in recognising patterns is proportional to the size of the dataset. On the other hand, in some cases, such as in the medical field, providi...

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Bibliographic Details
Main Authors: Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Computer Methods and Programs in Biomedicine Update
Subjects:
Small-scale Dataset
Stroke Disease
Data Augmentation
Transfer Learning
Mixing Technique
Online Access:http://www.sciencedirect.com/science/article/pii/S2666990025000229
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