A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
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AI helps doctors detect sepsis in kids before it becomes deadly
Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...
Researchers evaluated the impact of the timing of COVID-19 infection during pregnancy on both maternal illness severity and pregnancy outcomes.
Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
A higher oxidative balance score (OBS), a composite indicator of pro- and antioxidant exposures, is associated with increased ...
Female sex at birth, age of 65 years or older, and 32 specific medications were identified as factors for drug-related candidiasis.
Yuqin Fang et al conducted a study to evaluate risk factors and clinical outcomes in patients with reduction loss after ...
The presence of long COVID symptoms after infection with SARS-CoV-2 is strongly associated with the development of ...
Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may ...
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