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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery. Furthermore, the implementation of healthcare data mining techniques allows organizations to uncover hidden patterns and correlations within their datasets.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Intrinsic methods – this technique is based on ANNs that have been designed to output an explanation alongside the standard prediction. Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. nn_importances.tail(25).plot.barh(figsize=(10,12));

Modeling 139