Titlebook: Explainable Artificial Intelligence and Process Mining Applications for Healthcare; Third International Jose M. Juarez,Carlos Fernandez-Ll

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Cultural Humility, a Path to Equitye rankings can be challenging for users. In this paper, we present a visual analytic tool that combines XAI methods and interactive visualizations to explain ranking systems. Our tool provides users with a better understanding of how these systems work by using customized counterfactual explanations

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Janna de Gouveia,Liesel Ebersöhnactitioners do not have enough data describing the impact of treatments on the evolution of pathologies, which is necessary to develop a program that can dynamically adapt to changing patient conditions. We have therefore designed an application based on a series of medical consensus rules capable o

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Deborah Fitzsimmons,Sally Wheelwrightlevance and usefulness in the field of medicine where human lives are at risk. AI in medicine has the ability to derive meaningful inferences from real world data – an emerging school of thought namely Real World Evidence (RWE) studies – that can assist medical practitioners to improve evidence base

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Handbook of Quantifiers in Natural Languageents’ behavior. The features in this task are associated with costs. Besides basic (low-cost) information about patients’ phone calls and text messages, we are studying the impact of acoustic features (high-cost) on classifying patients’ states. Unlike in previous papers, now we take the costs into

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Cheng-Few Lee,Alice C. Lee,John Leeing the SEER database to model cutaneous malignant melanoma. Additionally, we employ SurvLIMEpy library, a . package designed to provide explainability for survival machine learning models, to analyse feature importance. The results demonstrate that machine learning algorithms outperform the Cox Pro

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Fundamental Genetic Principles,ion regimens, dietary habits, physical activity, and avoiding flare-ups. Instead of merely positing an “edict,” the AI model can also explain . the recommendation was issued: why one should stay indoors (e.g., increased risk of flare-ups), why further calorie intake should be avoided (e.g., met the

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