Popular deep learning algorithms for disease prediction: a review

Due to its automatic feature learning ability and high performance, deep learning has gradually become the mainstream of artificial intelligence in recent years, playing a role in many fields. Especially in the medical field, the accuracy rate of deep learning even exceeds that of doctors. This pape...

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Veröffentlicht in:	Cluster computing Jg. 26; H. 2; S. 1231 - 1251
Hauptverfasser:	Yu, Zengchen, Wang, Ke, Wan, Zhibo, Xie, Shuxuan, Lv, Zhihan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2023 Springer Nature B.V
Schlagworte:	Accuracy rate Algorithms Artificial intelligence Artificial neural networks Big Data Cardiovascular disease Computer Communication Networks Computer Science Convolution Convolutional neural network Convolutional neural networks current Data analysis Data processing Decomposition Deep learning Development history Digital twins Factorization machines Feature learning Forecasting Learning abilities Learning algorithms Machine learning Medical fields Neural networks Neurons Operating Systems Precision medicine Processor Architectures Recurrent neural networks Support vector machines Theory development Trends Artificial neural network Factorization machine Recurrent neural network Convolutional neural network
ISSN:	1386-7857, 1573-7543, 1573-7543
Online-Zugang:	Volltext
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