Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
The comprehensive identification of peaks in untargeted lipidomics using LC-MS/MS remains a signific...
OBJECTIVES: To facilitate the stratification of patients with osteoarthritis (OA) for new treatment ...
Adequate nurse staffing is crucial for quality healthcare, necessitating accurate predictions of pat...
The advent of smart cities has brought about a paradigm shift in urban management and citizen engage...
Real-time monitoring of intracranial pressure (ICP) is a routine part of neurocritical care in the m...
Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented ...
Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predic...
This study seeks to improve urban supply chain management and collaborative governance in the contex...
The rising prevalence of myopia is a significant global health concern. Atropine eye drops are comm...
BACKGROUND: Operating room efficiency is of paramount importance for scheduling, cost efficiency, an...
BACKGROUND: Rare diseases affect millions worldwide but sometimes face limited research focus indivi...
BACKGROUND: Modern machine learning and deep learning methods have been widely incorporated in decis...
OBJECTIVE: To analyze the epidemiological characteristics of human immunodeficiency virus (HIV) infe...
BackgroundThe ongoing fourth industrial revolution, characterized by the integration of intelligent ...
This study aimed to integrate game theory and deep learning algorithms with the InVEST Ecosystem Ser...
Cloud environment handles heterogeneous services, data, and users collaborating on different technol...
Diagnosing malaria using standard techniques is time-consuming. With limited staffing in many labora...
Meaningful and effective community engagement lies at the core of equity-centered research, which is...
Molecular machine learning (ML) has proven important for tackling various molecular problems, such a...
BACKGROUND: Impaired balance and gait in stroke survivors are associated with decreased functional i...
Mass spectral identification (in particular, in metabolomics) can be refined by comparing the observ...