Self-supervised Animal Detection in Indoor Environment

Yousra, Taifour; Afridi, Hina; Tarekegn, Adane Nega; Ullah, Mohib; Beghdadi, Azzedine; Cheikh, Faouzi Alaya

doi:10.1109/ipta59101.2023.10320047

2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA) 2023

DOI: 10.1109/ipta59101.2023.10320047

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Self-supervised Animal Detection in Indoor Environment

Taifour Yousra,

Hina Afridi,

Adane Nega Tarekegn

et al.

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2024

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Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification

Tarekegn,

Michalak,

Costa

et al. 2024

J Healthc Inform Res

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Frailty syndrome is prevalent among the elderly, often linked to chronic diseases and resulting in various adverse health outcomes. Existing research has predominantly focused on predicting individual frailty-related outcomes. However, this paper takes a novel approach by framing frailty as a multi-label learning problem, aiming to predict multiple adverse outcomes simultaneously. In the context of multi-label classification, dealing with imbalanced label distribution poses inherent challenges to multi-label prediction. To address this issue, our study proposes a hybrid resampling approach tailored for handling imbalance problems in the multi-label scenario. The proposed resampling technique and prediction tasks were applied to a high-dimensional real-life medical dataset comprising individuals aged 65 years and above. Several multi-label algorithms were employed in the experiment, and their performance was evaluated using multi-label metrics. The results obtained through our proposed approach revealed that the best-performing prediction model achieved an average precision score of 83%. These findings underscore the effectiveness of our method in predicting multiple frailty outcomes from a complex and imbalanced multi-label dataset.

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Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification

Tarekegn,

Michalak,

Costa

et al. 2024

J Healthc Inform Res

View full text Add to dashboard Cite

show abstract

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Self-supervised Animal Detection in Indoor Environment

Cited by 1 publication

References 20 publications

Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification

Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification

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