Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …

Objective To compare performance of risk prediction models for forecasting postoperative
sepsis and acute kidney injury. Design Retrospective single center cohort study of adult …

Shear wave velocity is a critical parameter for the characterization of hydrocarbon reservoirs.
Compared with compressional wave velocity which almost exist in every well, shear wave …

Data mining is the process of analyzing a massive amount of data to identify meaningful
patterns and detect relations, which can lead to future trend prediction and appropriate …

Four enhanced machine learning models were used to predict obesity in high school
students by focusing on both risk and protective factors: binary logistic regression; improved …

The growing chronic diseases patients and the centralization of medical resources cause
significant economic impact resulting in hospital visits, hospital readmission, and other …

The number of the overweight people continues to rise across the world. Studies have
shown that being overweight can increase health risks, such as high blood pressure …

Dietary adjustment through food group substitutions is an adaptive strategy for obesity
management in human populations and action on climate change. However, specific dietary …

Obesity is a chronic disease with an increasing impact on the world's population. In this
work, we present a method of identifying obesity automatically using text mining techniques …

Methods: The data for this study included 18 questions about study situation of 275
undergraduate students selected randomly from among nursing and midwifery and …