Objective The proper handling of missing values is critical to delivering reliable estimates and decisions, especially in high-stakes fields such as clinical research. In response to the …
M Wang, M Sushil, BY Miao… - Journal of the American …, 2023 - academic.oup.com
Objectives As the real-world electronic health record (EHR) data continue to grow exponentially, novel methodologies involving artificial intelligence (AI) are becoming …
Digital health data used in diagnostics, patient care, and oncology research continue to accumulate exponentially. Most medical information, and particularly radiology results, are …
SA Rakhshan, MS Nejad, M Zaj, FH Ghane - Computers in Biology and …, 2023 - Elsevier
It is essential to evaluate patient outcomes at an early stage when dealing with a pandemic to provide optimal clinical care and resource management. Many methods have been …
Introduction Since the beginning of the COVID-19 pandemic, numerous machine and deep learning (MDL) methods have been proposed in the literature to analyze patient …
M Nigo, HTN Tran, Z Xie, H Feng, B Mao… - Journal of Biomedical …, 2022 - Elsevier
Vancomycin is a commonly used antimicrobial in hospitals, and therapeutic drug monitoring (TDM) is required to optimize its efficacy and avoid toxicities. Bayesian models are currently …
H Chen, Y Xu, Y Zhou, J Du, L Cui, H Tan - Expert Systems with …, 2024 - Elsevier
Patient outcomes forecasting (POF) has been shown to be an effective diagnostic assistant that can be used to predict disease progression and patient status in advance. In practice …
J Clancy, CS Hoffmann, BE Pickett - Computational and Structural …, 2023 - Elsevier
SARS-CoV-2 is the causative agent of COVID-19, which has greatly affected human health since it first emerged. Defining the human factors and biomarkers that differentiate severe …
Background Primary immunodeficiency (PI) is a group of heterogeneous disorders resulting from immune system defects. Over 70% of PI is undiagnosed, leading to increased mortality …