Publications by authors named "H C Cesar"
Article Synopsis
- - The study focuses on developing and validating machine learning models to predict major adverse cardiovascular events (MACE) by evaluating their reliability and interpretability across different populations, utilizing data from Brazil and the USA.
- - Eight machine learning algorithms were trained using a balanced dataset and assessed for their predictive performance based on accuracy and ROC curve metrics, with emphasis on Random Forest, which outperformed the others in both internal and external validations.
- - Findings indicate that while Random Forest was the most effective model, Shapley values offered more consistent insights for understanding feature importance compared to LIME during exploratory analyses.
Background: Little is known about the knowledge of the Brazilian population regarding prevention/screening/diagnosis of cirrhosis and hepatocellular carcinoma (HCC). We aimed to investigate the public knowledge/attitudes toward liver diseases in Brazil.
Methods: A cross-sectional survey was conducted in which 1.
Purpose: The gut-brain axis (GBA) is implicated in the development of obesity, and its role in developmental programming needs to be explored. This study uncovers the effects of a parental high-fat, high-sugar diet (HFS) on the gut (colon) and brain (hypothalamus) GBA of male Wistar rat offspring at weaning until adulthood.
Methods: For ten weeks before mating, male progenitors were fed a control diet (CD) or HFS, whereas dams were fed CD or HFS during pregnancy and lactation.
Parental nutrition can impact the health of future generations, programming the offspring for the development of diseases. The developing germ cells of the offspring could be damaged by the maternal or the paternal environment. The germ cells in development and their function could be affected by nutritional adversity and therefore, harm the health of subsequent generations.
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