Latest AI and machine learning research in surveys for healthcare professionals.
UNLABELLED: This study analysed the association between income inequality and depression from a mult...
Studies have shown that father absence in opposite-gender couples has detrimental effects on childre...
This study proposes a new index to measure the resilience of an individual to stress, based on the c...
This paper is a continuation of research into the possibility of using fuzzy logic to assess the rel...
Population and public health are in the midst of an artificial intelligence revolution capable of ra...
In this paper, we analyzed the application value and effect of deep learn-based image segmentation m...
We sought to apply natural language processing to the task of automatic risk of bias assessment in p...
BACKGROUND: The Cox proportional hazards model with neural networks is widely used to accurately pre...
In this article, we study activity recognition in the context of sensor-rich environments. In these ...
Healthy aging is a new challenge for the world. Therefore, health literacy education is a key issue ...
Cognitive performance can be predicted from an individual's functional brain connectivity with modes...
Various intelligent technologies have been applied during COVID-19, which has become a worldwide pub...
The present study seeks to examine individuals' stream of thought in real time. Specifically, we ask...
In recent years, intelligent medical communication technology has developed rapidly, and the advance...
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...
Static and dynamic posture analysis was a critical clinical examination in physiotherapy and rehabil...
Most machine learning applications in quantum-chemistry (QC) data sets rely on a single statistical ...
The ecological and environmental science communities have embraced machine learning (ML) for empiric...
Surface-enhanced Raman scattering (SERS) is a powerful technique for sensitive label-free analysis o...
Human errors are considered to be the main causation factors of high-temperature molten metal accide...
Previous studies applying machine learning methods to psychosis have primarily been concerned with t...