Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
The snippet below fails with a NCCL error. At first I thought it was when n_workers > 1 but it appears to also be the case for a single worker. I'm not sure if this ...
The main predictors for 30-day mortality in ICU patients with asthma were age, RR, RDW, urine output, anion gap, international normalized ratio, and heart rate. A machine learning (ML)-based model can ...
A recent study titled “Leveraging Explainable Artificial Intelligence for Place-Based and Quantitative Strategies in Urban ...
ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...
ABSTRACT: This study introduces the XGBoost Multimodal Autism Predictor (XMAP), an interpretable machine learning framework designed to improve ASD classification by integrating publicly available ...
With bipartisan backing, successive congresses and presidential administrations have forced the health sector to disclose prices for services that were previously concealed from the public. With the ...
School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, People’s Republic of China School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou ...
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