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About Deep Learning For Health Informatics
This document summarizes a research article that reviews the use of deep learning in health informatics. It discusses key applications in fields like translational bioinformatics, medical imaging, sensing, medical informatics, and public health. The number of publications using deep learning in health has grown rapidly since 2010. Popular deep learning techniques used include convolutional neural networks, recurrent neural networks, deep belief networks, and deep autoencoders. The article provides an overview of deep learning foundations and a comprehensive review of its use in health informatics.
Detailed Information
| Author: | ['Buster Foxx'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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