Multi-View Integrative Attention-Based Deep Representation Learning for Irregular Clinical Time-Series Data

Author:

Lee Yurim1ORCID,Jun Eunji1ORCID,Choi Jaehun2ORCID,Suk Heung-Il3ORCID

Affiliation:

1. Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea

2. Medical Information Research Section, Intelligent Convergence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea

3. Department of Artificial Intelligence and the Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea

Funder

Institute of Information & Communications Technology Planning & Evaluation

Korea University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference28 articles.

1. ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling

2. RETAIN: An interpretable predictive model for healthcare using reverse time attention mechanism;choi;Proc Adv Neural Inf Process Syst,0

3. GRAM

4. KAME

5. Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

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