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

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樓主: GURU
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發(fā)表于 2025-3-28 15:23:06 | 只看該作者
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發(fā)表于 2025-3-28 20:01:56 | 只看該作者
Understanding Prostate Cancer Care Process Using Process Mining: A Case Studydiagnosed with prostate cancer go through established procedures, and the decisions made about the treatments are vital due to cancer’s unfavorable essence evolution. In this context, prostate-specific antigen tests are helpful in stratifying surveillance and subsequent risk and are monitored for re
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發(fā)表于 2025-3-29 01:49:46 | 只看該作者
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發(fā)表于 2025-3-29 06:13:55 | 只看該作者
Jose M. Juarez,Carlos Fernandez-Llatas,Alfredo Vel
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發(fā)表于 2025-3-29 08:44:15 | 只看該作者
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發(fā)表于 2025-3-29 12:20:34 | 只看該作者
An Explainable AI Framework for?Treatment Failure Model for?Oncology Patientsvides explanations like feature analysis, counterfactual, and top risk factors that contribute to a treatment failure. As a result, the framework adds an explainability layer between treatment failure predictive model and oncologists, thereby enabling evidence based assistance to oncologists in desi
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發(fā)表于 2025-3-29 17:06:31 | 只看該作者
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發(fā)表于 2025-3-29 19:55:39 | 只看該作者
Explanations of?Symbolic Reasoning to?Effect Patient Persuasion and?Educationnations for AI in Notation3) to explain symbolic reasoning inferences in a trace-based, contrastive, and counterfactual way. We applied this framework to explain recommendations for Chronic Obstructive Pulmonary Disease (COPD) patients to avoid flare-ups. For evaluation, we propose a questionnaire t
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發(fā)表于 2025-3-30 02:57:11 | 只看該作者
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