Collaborative Learning of Common Latent Representations in Routinely Collected Multivariate ICU Physiological Signals-Reference-Cited by-同舟云学术

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Collaborative Learning of Common Latent Representations in Routinely Collected Multivariate ICU Physiological Signals

Published:2024-04-14 Issue: Volume:9 Page:393-397
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Container-title:2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
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Author:

Haule Hollan¹,Piper Ian²,Jones Patricia³,Lo Tsz-Yan Milly²,Escudero Javier¹

Affiliation:

1. Institute for Imaging, Data and Communications (IDCOM), University of Edinburgh,School of Engineering,UK

2. University of Edinburgh,Centre of Medical Informatics, Usher Institute,Edinburgh,UK

3. University of Edinburgh,Department of Child Life and Health,Edinburgh,UK

Funder

Carnegie Trust for the Universities of Scotland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625769/10625780/10627040.pdf?arnumber=10627040

Reference15 articles.

1. Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

2. Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data

3. Machine learning approaches for electronic health records phenotyping: a methodical review

4. Combining deep learning with token selection for patient phenotyping from electronic health records

5. Natural Language Processing for EHR-Based Computational Phenotyping

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