Trustworthy Intelligence: Interpretability of Predictive Models in Clinical  Decision Support

Shoaib Akhtar, Amit sharma,Milind, Akshita Chaudhary

Trustworthy Intelligence: Interpretability of Predictive Models in Clinical Decision Support

Authors

Shoaib Akhtar, Amit sharma,Milind, Akshita Chaudhary

Keywords:

Explainable AI, Clinical Decision Support Systems, Supervised Learning, Interpretability, Trustworthy AI, Healthcare Machine Learning, Medical Ethics, Regulatory Compliance

Abstract

At the heart of this is AI/ML technology which has disrupted the healthcare industry with theirpredictive algorithm-based models that can now diagnose diseases, predict patient outcomesand recommend treatment pathways. Yet, applications of these technologies in clinical use rely

References

D. Gunning, "Explainable Artificial Intelligence (XAI)," Defense Advanced Research Projects Agency (DARPA), 2017.

F. Doshi-Velez and B. Kim, "Towards a rigorous science of interpretable machine learning," arXiv preprint arXiv:1702.08608, 2017.

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Published

2024-08-20

How to Cite

Shoaib Akhtar, Amit sharma,Milind, Akshita Chaudhary. (2024). Trustworthy Intelligence: Interpretability of Predictive Models in Clinical Decision Support . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 5330–5343. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3204