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Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients
March 5, 2024, 2:43 p.m. | Hamed Khosravi, Srinjoy Das, Abdullah Al-Mamun, Imtiaz Ahmed
cs.LG updates on arXiv.org arxiv.org
Abstract: The Center for Disease Control estimates that over 37 million US adults suffer from chronic kidney disease (CKD), yet 9 out of 10 of these individuals are unaware of their condition due to the absence of symptoms in the early stages. It has a significant impact on patients' quality of life, particularly when it progresses to the need for dialysis. Early prediction of dialysis is crucial as it can significantly improve patient outcomes and assist …
abstract advance arxiv augmentation binary center clinical control copula cs.ai cs.lg data decision decision support disease novel patients prediction stat.ap support synthesis systems type
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