Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.
This paper aims to identify key factors influencing elder abuse within the family and to further explore the heterogeneity of these factors across different types of elder abuse. The data were drawn from the China Longitudinal Aging Social Survey and the final valid sample was 10,703. A random forest classifier, a supervised machine learning method, was employed to identify the key influencing fac...
The activation of dihydrogen by transition-metal monoxide cations (MO) in the gas phase offers valuable mechanistic insight into multistate reactions. In this work, we present a mixed quantum-classical trajectory surface hopping study of the MnO + H reaction, based on newly developed full-dimensional coupled potential energy surfaces (PESs) for both the lowest-lying quintet and septet spin states,...
BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical abuse, emotional maltreatment, neglect, and peer ...
Next mobile app prediction aims to recommend the apps that users will most likely to use next based on their historical usage behavior. It is critical...
Effective inpatient bed management is critical for optimizing healthcare resource utilization and ensuring high-quality patient care. The growing imba...
Risk adjustment is a critical component of health care reimbursement aimed at ensuring fair compensation on the basis of the characteristics of patien...
Recently, various self-supervised learning (SSL) methods based on 3D graph neural networks (GNNs) have been developed to comprehensively represent the...
A growing number of studies have compared human and AI creative performance. These studies differ in AI chatbots, human populations, creativity tasks,...
BACKGROUND: Large language models (LLMs) can support health care professionals in their daily work, for example, when writing and filing reports or co...
Mapping cell distributions across spatial locations with whole-genome coverage is essential for understanding cellular responses and signaling However...
Marked variability in inpatient hospitalization costs poses significant challenges to healthcare quality, resource allocation, and patient outcomes. T...
BACKGROUND: Accurate identification of drug-drug interactions (DDIs) is critical in pharmacology, as DDIs can either enhance therapeutic efficacy or t...
This study focuses on the impact of learning experience on college students' deep learning of English and the chain-mediated effects of motivation and...
With the advancement of deep learning, robotic grasping has seen widespread application in fields, becoming a critical component in enhancing automati...
Estimating the individuals' potential response to varying treatment doses is crucial for decision-making in areas such as precision medicine and manag...
The rising costs and labor shortages have sparked interest in machine harvesting of fresh-market blueberries. A major drawback of machine harvesting i...
Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient projection data leads to degraded image quality with incr...
Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in dual-time images, which is more complex and chall...
Recent advancements in endoscopy video analysis have relied on the utilization of relatively short video clips extracted from longer videos or million...
Precise segmentation and uncertainty estimation are crucial for error identification and correction in medical diagnostic assistance. Existing methods...