Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients-Reference-Cited by-同舟云学术

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Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients

Published:2024-05-23 Issue: Volume:2020 Page:1-9
ISSN:
Container-title:2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)
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Author:

García-Cuesta Esteban¹,Huertas-Tato Javier²,Cardinal-Fernandez Pablo³,Barberán José⁴

Affiliation:

1. ETSI Informáticos, Universidad Politécnica de Madrid,Artificial Intelligence Department,Madrid,Spain,28660

2. ETSISI, Universidad Politécnica de Madrid,Computer Systems Department,Madrid,Spain,28031

3. Intensive Care Unit HM Hospitals Group,Madrid,Spain

4. Hospital Universitario HM Monteprincipe,Internal Medicine Department,Madrid,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10569136/10569095/10570018.pdf?arnumber=10570018

Reference26 articles.

1. Notices from european union institutions, bodies, offices and agencies: Council conclusions on personalised medicine for patients (2015/c 421/03);OJ

2. eCIE-Maps-CIE-10-ES Diagnosticos,2019

3. Interpretable Machine Learning in Healthcare

4. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

5. Towards a theoretical understanding of the robustness of variational autoencoders;Camuto;arXiv preprint arXiv:2007.07365,2020

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