Results 11 to 20 of about 822,176 (252)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Predicting early Type 2 diabetes (T2D) is critical for improved care and better T2D outcomes. An accurate and efficient T2D prediction relies on unbiased relevant features.
Mila Desi Anasanti +2 more
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Information, 2023 Diabetes is a chronic disease caused by a persistently high blood sugar level, causing other chronic diseases, including cardiovascular, kidney, eye, and nerve damage.
Md. Jamal Uddin +8 more
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Applied Sciences, 2021 Diabetes Mellitus (DM) is one of the most common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and ...
Hafiz Farooq Ahmad +4 more
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Permutation importance: a corrected feature importance measure [PDF]
Bioinformatics, 2010 Abstract Motivation: In life sciences, interpretability of machine learning models is as important as their prediction accuracy. Linear models are probably the most frequently used methods for assessing feature relevance, despite their relative inflexibility.
André Altmann +3 more
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Local Explanations of Global Rankings: Insights for Competitive Rankings
IEEE Access, 2022 Explaining complex algorithms and models has recently received growing attention in various domains to support informed decisions. Ranking functions are widely used for almost every form of human activity to enable effective decision-making processes ...
Hadis Anahideh +1 more
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Big Data and Cognitive Computing, 2023 This paper investigated the importance of explainability in artificial intelligence models and its application in the context of prediction in Formula (1).
William Villegas-Ch +2 more
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Logic Constraints to Feature Importance
, 2022 In recent years, Artificial Intelligence (AI) algorithms have been proven to outperform traditional statistical methods in terms of predictivity, especially when a large amount of data was available. Nevertheless, the "black box" nature of AI models is often a limit for a reliable application in high-stakes fields like diagnostic techniques, autonomous
Nicola Picchiotti, Marco Gori
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Sakarya University Journal of Computer and Information Sciences, 2020 The whole world has been fighting against the novel coronavirus 2019 (COVID-19) for months. Despite the advances in medical sciences, more than 235,000 people have died so far.
Abdullah Talha Kabakuş
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Inherent Inconsistencies of Feature Importance
CoRR, 2022 The rapid advancement and widespread adoption of machine learning-driven technologies have underscored the practical and ethical need for creating interpretable artificial intelligence systems. Feature importance, a method that assigns scores to the contribution of individual features on prediction outcomes, seeks to bridge this gap as a tool for ...
Nimrod Harel +2 more
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Grouped feature importance and combined features effect plot
Data Mining and Knowledge Discovery, 2022 AbstractInterpretable machine learning has become a very active area of research due to the rising popularity of machine learning algorithms and their inherently challenging interpretability. Most work in this area has been focused on the interpretation of single features in a model.
Quay Au +4 more
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