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Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models
Objectives Leveraging artificial intelligence (AI) in conjunction with electronic health records
(EHRs) holds transformative potential to improve healthcare. However, addressing bias in …
(EHRs) holds transformative potential to improve healthcare. However, addressing bias in …
Soft phenoty** for sepsis via EHR time-aware soft clustering
Objective: Sepsis is one of the most serious hospital conditions associated with high
mortality. Sepsis is the result of a dysregulated immune response to infection that can lead to …
mortality. Sepsis is the result of a dysregulated immune response to infection that can lead to …
Bias Mitigation in Medical Datasets: Enhancing GBM and KNN Predictive Models with SMOTE Techniques
D Boughareb, H Bordjiba… - … on Computing and …, 2024 - ieeexplore.ieee.org
Dataset bias is a critical issue in medical machine learning models that can significantly
impact the efficacy of disease prediction and diminish the ability to generate relevant clinical …
impact the efficacy of disease prediction and diminish the ability to generate relevant clinical …