Latest AI and machine learning research in obesity for healthcare professionals.
To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguina...
Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or mo...
: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resi...
Physiological time series are affected by many factors, making them highly nonlinear and nonstationa...
We aimed to develop and evaluate a machine learning model that can stratify infertile/fertile couple...
BACKGROUND: The aim of our research was to prospectively explore the clinical value of a deep learni...
Background The promise of precision population health includes the ability to use robust patient dat...
A high-performing interpretable model is proposed to predict the risk of deterioration in coronaviru...
Robot-assisted radical prostatectomy (RARP) is challenging in men with prior history of transurethra...
Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symp...
We present a simple and efficient hypothesis-free machine learning pipeline for risk factor discover...
Childhood trauma (ChT) is a risk factor for psychosis. Negative lifestyle factors such as rumination...
Machine learning models predicting the bioactivity of chemical compounds belong nowadays to the stan...
BACKGROUND: The aim of the present paper is to construct an emulator of a complex biological system ...
- Many factors affect student performance such as the individual's background, habits, absenteeism ...
Horticultural crops mainly include fruits, vegetables, ornamental trees and flowers, and tea trees (...
Obesity is one of the main drivers of type 2 diabetes, but it is not uniformly associated with the d...
With the rapid development of information technology, hospital informatization has become the genera...
fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceiv...
Depression is one of the most common mental health problems in middle-aged and elderly people. The e...
Development of neural interface and brain-machine interface (BMI) systems enables the treatment of n...