AI Medical Compendium Topic

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Local Explanation-Based Method for Healthcare Risk Stratification.

Studies in health technology and informatics
Decision support tools in healthcare require a strong confidence in the developed Machine Learning (ML) models both in terms of performances and in their ability to provide users a deeper understanding of the underlying situation. This study presents...

Preprocessing to Address Bias in Healthcare Data.

Studies in health technology and informatics
Multimorbidity, having a diagnosis of two or more chronic conditions, increases as people age. It is a predictor used in clinical decision-making, but underdiagnosis in underserved populations produces bias in the data that support algorithms used in...

Federated Learning in Healthcare: A Privacy Preserving Approach.

Studies in health technology and informatics
A need to enhance healthcare sector amidst pandemic arises. Many technological developments in Artificial Intelligence (AI) are being constantly leveraged in different fields of healthcare. One such advancement, Federated Learning(FL) has acquired re...

Applying Artificial Intelligence Privacy Technology in the Healthcare Domain.

Studies in health technology and informatics
Regulations set out strict restrictions on processing personal data. ML models must also adhere to these restrictions, as it may be possible to infer personal information from trained models. In this paper, we demonstrate the use of two novel AI Priv...