Multi-Modal Stacked Denoising Autoencoder for Handling Missing Data in Healthcare Big Data

Supply and demand increase in response to healthcare trends. Moreover, personal health records (PHRs) are being managed by individuals. Such records are collected using different avenues and vary considerably in terms of their type and scope depending on the particular circumstances. As a result, so...

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Vydáno v:	IEEE access Ročník 8; s. 104933 - 104943
Hlavní autoři:	Kim, Joo-Chang, Chung, Kyungyong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Autoencoder Big Data Computational modeling Data analysis Data collection data estimation data imputation Data models data pre-processing Disease control Estimation health big data Health care Machine learning Mathematical models Medical services Missing data multi-modal Neural networks Noise factor Noise reduction Nutrition Parameters
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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