A Multi-label Classification Study for the Prediction of Long-COVID Syndrome

Marco Dossena, Christopher Irwin, Luca Piovesan, Luigi Portinale

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Abstract

We present a study about the prediction of long-COVID sequelae through multi-label classification (MLC). Data about more than 300 patients have been collected during a long-COVID study at Ospedale Maggiore of Novara (Italy), considering their baseline situation, as well as their condition on acute COVID-19 onset. The goal is to predict the presence of specific long-COVID sequelae after a one-year follow-up. To amplify the representativeness of the analysis, we carefully investigated the possibility of augmenting the dataset, by considering situations where different levels in the number of complications could arise. MLSmote under six different policies of data augmentation has been considered, and a representative set of MLC approaches have been tested on all the available datasets. Results have been evaluated in terms of Accuracy, Exact match, Hamming Score and macro-averaged AUC; they show that MLC methods can actually be useful for the prediction of specific long-COVID sequelae, under the different conditions represented by the different considered datasets.

Lingua originaleInglese
Titolo della pubblicazione ospiteAIxIA 2023 – Advances in Artificial Intelligence - 22nd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023, Proceedings
EditorRoberto Basili, Carla Limongelli, Domenico Lembo, Andrea Orlandini
EditoreSpringer Science and Business Media Deutschland GmbH
Pagine265-277
Numero di pagine13
ISBN (stampa)9783031475450
DOI
Stato di pubblicazionePubblicato - 2023
Evento22nd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023 - Rome, Italy
Durata: 6 nov 20239 nov 2023

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14318 LNAI
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???22nd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023
Paese/TerritorioItaly
CittàRome
Periodo6/11/239/11/23

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