Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Accurate prediction of detonation performance is a critical challenge in the design and screening of energetic materials due to the complex and nonlinear interactions among their physicochemical and molecular descriptors. In this study, a comprehensive data-driven framework based on machine learning (ML) algorithms is developed to predict detonation pressure using a curated dataset of 222 distinct...
BACKGROUND: Early motherhood remains a major public health and equity challenge in low- and middle-income countries, especially in Latin America. While poverty, education, gender norms, and barriers to sexual and reproductive health are well-established determinants, how household income translates into (or fails to translate into) delayed childbearing remains insufficiently understood-particularl...
BACKGROUND: With the advancement of hierarchical diagnosis and treatment systems in China, primary healthcare institutions have become pivotal in deli...
BACKGROUND: Chronic liver disease (CLD) and its progression to compensated cirrhosis (CC), decompensated cirrhosis (DC), and acute-on-chronic liver fa...
PURPOSE: This paper seeks to improve the reliability and quality of operation of the critical medical equipment methods through the combination of fai...
As academic health systems increasingly consolidate with unified electronic health records (EHR), picture archiving and communication systems (PACS), ...
BACKGROUND: Artificial intelligence (AI) technologies for vision-based epilepsy monitoring are advancing rapidly in health care. Despite growing resea...
Releases from nuclear or radiological security events can result in significant internal radiation contamination through inhalation of particulate con...
BACKGROUND: Peer teaching is an established pedagogical approach in medical education; yet, traditional methods face challenges including inconsistent...
Cloud computing is a key enabler of modern computing services, offering scalability and flexibility. However, efficient management of cloud resources ...
The growing use of renewable energy sources (RES), particularly wind power (WP), in deregulated electricity markets has resulted in large operating un...
BACKGROUND: Artificial intelligence (AI) is increasingly being used in many aspects of society, including health care and education. AI has the potent...
Serratia sp. are opportunistic Gram-negative bacteria capable of forming robust biofilms and expressing a wide range of quorum sensing (QS)-regulated ...
Recent advances in large language models (LLMs) have intensified interest in using ChatGPT for educational dialogue. This study examined whether ChatG...
Reliable forecasting of chlorophyll-a concentration is essential for early warning of harmful algal blooms in eutrophic lakes. However, most deep lear...
Managing phosphorus (P) pollution in hydrologically complex lake systems requires clarifying whether groundwater acts as a source or sink of P to surf...
BACKGROUND: Successful vascular tissue regeneration in vascular and soft-tissue biomaterials is governed not by bulk volumetric porosity, but by the e...
Emergency medicine has evolved from an emerging discipline to a formally recognised specialty across much of Asia over the past four decades. Adoption...
Developing soft matter systems with programmability, multifunctional integration, and environmental adaptability represents a critical challenge in so...
A strong deep learning model typically relies on a large dataset that exposes it to a variety of scenarios for learning. However, data scarcity remain...