The author investigates how probabilistic classification can be used to enhance credit-scoring accuracy, offering a robust means for assessing model performance ...
There are also trade-offs in creativity. Because the energy critic favors low-energy (i.e., high-probability) text, the model ...
Amid the global surge in rapid advancements in artificial intelligence, the healthcare sector is entering a critical phase of intelligent transformation. As a vital tool in clinical diagnosis, ...
Active LN and the presence of U1-RNP antibodies were linked to low BMD and osteoporosis among patients with SLE.
Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...
The growing prevalence of cognitive impairment and neurodegenerative conditions in older adults presents a significant ...
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Where Are We Now
US stock market is at bubble highs. Learn why experts urge caution, Buffett is selling, and which safe-haven assets to ...
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AI model maps lifetime disease risks to transform future healthcare planning
M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...
Avani Lakkireddy is a sophomore using data analytics to find patterns and model behavior in college and professional sports ...
Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...
Motion capture technology is a key enabler for the digitalization of the human body in VR/AR/MR, film production, and sports rehabilitation, and has ...
2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.
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