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Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR
The lack of transparency and explainability hinders the clinical adoption of Machine learning (ML) algorithms.
Analytical Techniques to Support Hospital Case Mix Planning
The proposed techniques are embedded seamlessly within an Excel Visual Basic for Applications (VBA) personal decision support tool (PDST), for performing informative quantitative assessments of hospital capacity.
The Efficacy of Utility Functions for Multicriteria Hospital Case-Mix Planning
A new approach to perform hospital case-mix planning (CMP) is introduced in this article.
Multicriteria Optimization Techniques for Understanding the Case Mix Landscape of a Hospital
As there are many patient types in a typical hospital, the task of generating an archive of non-dominated (i. e., Pareto optimal) case mix is computationally challenging.
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted?
The absence of transparency and explainability hinders the clinical adoption of Machine learning (ML) algorithms.
