Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Measurements of epigenetic age can highlight modifiable risk factors for pregnancy complications and later illness.
Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...
Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...
Exogenous attention is a rapid, involuntary mechanism that automatically reallocates processing resources toward salient stimuli. It enhances visual sensitivity in the vicinity of the salient stimulus ...
A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly fortunetelling, but forecasting is a huge industry and service that much of our ...
Objective: To assess the correlates of changes in emergency department (ED) prices for self-pay patients from 2021 to 2023. Study Design: Retrospective longitudinal analysis of self-pay prices for ED ...
A recent study revealed that Life’s Essential 8 (LE8) exhibited a negative association with the incidence of coronary heart ...
Background CFTR modulators have transformed cystic fibrosis (CF) treatment, but individual responses vary even among patients with identical CFTR genotypes. This underscores the need for predictive ...
Reduced costly care: Behavioral health–related emergency department visits and inpatient admissions decreased by 35% and 43%, respectively. Lower total medical costs: The intervention group saved ...
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