Transforming Healthcare Diagnostics With Tensorized Attention and Continual Learning on Multi-Modal Data

Analyzing multi-modal medical data in the setting of uncertain healthcare situations continues to be a major topic in medical image analysis and healthcare big data. Traditional machine learning algorithms are severely hampered by inaccurate data fusion, a lack of adaptability to changing patient da...

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Vydáno v:	IEEE transactions on consumer electronics Ročník 71; číslo 2; s. 3391 - 3412
Hlavní autoři:	Iqbal, Saeed, Zhong, Xiaopin, Khan, Muhammad Attique, Shabaz, Mohammad, Wu, Zongze, AlHammadi, Dina Abdulaziz, Liu, Weixiang, Algamdi, Shabbab Ali, Li, Yang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.05.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptation Artificial intelligence Attention mechanisms Big Data catastrophic forgetting continual learning Continuing education Data analysis data fusion Data integration Data sources Data transmission Health care Image analysis Machine learning Medical diagnostic imaging Medical imaging Medical services Modal data Multi-modal data Neural networks progressive neural networks (PNNs) Regularization Robot sensing systems Soft sensors tensorized attention mechanism Uncertainty
ISSN:	0098-3063, 1558-4127
On-line přístup:	Získat plný text
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