MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework

As large amounts of heterogeneous biomedical data become available, numerous methods for integrating such datasets have been developed to extract complementary knowledge from multiple domains of sources. Recently, a deep learning approach has shown promising results in a variety of research areas. H...

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Bibliographic Details

Published in:	Frontiers in genetics Vol. 10; p. 617
Main Authors:	Lee, Garam, Kang, Byungkon, Nho, Kwangsik, Sohn, Kyung-Ah, Kim, Dokyoon
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 28.06.2019
Subjects:	Alzheimer’s disease data integration gated recurrent unit Genetics multimodal deep learning python package gated recurrent unit python package Alzheimer’s disease data integration multimodal deep learning
ISSN:	1664-8021, 1664-8021
Online Access:	Get full text
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