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Title: | Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections | Authors: | BELLO GARCIA, Marilyn Aguilera, Yaumara NAPOLES RUIZ, Gonzalo Garcia, Maria M. Bello, Rafael VANHOOF, Koen |
Issue Date: | 2021 | Publisher: | SPRINGER INTERNATIONAL PUBLISHING AG | Source: | PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION, SPRINGER INTERNATIONAL PUBLISHING AG, p. 3 -12 | Series/Report: | Lecture Notes in Computer Science | Abstract: | COVID-19 has been affected worldwide since the end of 2019. Clinical studies have shown that a factor that increases its lethality is the existence of secondary infections. Coinfections associated with the infection SARS-CoV-2 are classified into bacterial infections and fungal infections. A patient may develop one, both, or neither. From a machine learning point of view, this is considered a multi-label classification problem. In this work, we propose a multi-label neural network able to detect such infections in a patient with SARS-CoV-2 and thus provide the medical community with a diagnosis to guide therapy in these patients. However, neural networks are often considered a "black box" model, as their strength in modeling complex interactions, also make their operation almost impossible to explain. Therefore, we propose three adaptations of the Layer-wise Relevance Propagation algorithm to explain multi-label neural networks. The inclusion of this post-hoc interpretability stage made it possible to identify significant input variables in a classifier output. | Notes: | Bello, M (corresponding author), Univ Cent Villas, Comp Sci Dept, Santa Clara, Cuba.; Bello, M (corresponding author), Hasselt Univ, Fac Business Econ, Hasselt, Belgium. mbgarcia@uclv.cu |
Keywords: | COVID-19;Coinfections;Multi-label scenario;Neural networks;Layer-wise Relevance Propagation | Document URI: | http://hdl.handle.net/1942/36422 | ISBN: | 9783030896911 | DOI: | 10.1007/978-3-030-89691-1_1 | ISI #: | WOS:000728363500001 | Rights: | Springer Nature Switzerland AG 2021 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections.pdf Restricted Access | Published version | 472.82 kB | Adobe PDF | View/Open Request a copy |
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