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Efficient diagnosis of diabetes mellitus using an improved ensemble method.
Sci Rep
January 2025
Faculty of Engineering, Université de Moncton, Moncton, NB, E1A3E9, Canada.
Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy.
View Article and Find Full Text PDFTrifolirhizin: A Phytochemical with Multiple Pharmacological Properties.
Molecules
January 2025
Department of Food and Nutrition, College of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Republic of Korea.
Trifolirhizin is an important flavonoid glycoside reported from the roots of medicinal plants such as Astragalus membranaceus, Sophora tonkinensis, Ononis vaginalis, Euchresta formosana, Sophora Subprostrate, Ononis spinose, and Sophora flavescens. It is considered one of the important constituents responsible for the various medicinal properties of these medicinal plants. Studies have revealed the multiple pharmacological properties of trifolirhizin: anti-inflammatory, antioxidant, antibacterial, anti-ulcerative colitis, antiasthma, hepatoprotective, osteogenic, skin-whitening, wound-healing, and anticancer (against various types of cancers).
View Article and Find Full Text PDFRadar versus optical: The impact of cloud cover when mapping seasonal surface water for health applications in monsoon-affected India.
PLoS One
January 2025
UK Centre for Ecology and Hydrology, Crowmarsh Gifford, Wallingford, United Kingdom.
Surface water plays a vital role in the spread of infectious diseases. Information on the spatial and temporal dynamics of surface water availability is thus critical to understanding, monitoring and forecasting disease outbreaks. Before the launch of Sentinel-1 Synthetic Aperture Radar (SAR) missions, surface water availability has been captured at various spatial scales through approaches based on optical remote sensing data.
View Article and Find Full Text PDFPredicting Hospitalization in Older Adults Using Machine Learning.
Geriatrics (Basel)
January 2025
School of Telematics, University of Colima, Colima 28040, Mexico.
: Hospitalization among older adults is a growing challenge in Mexico due to the high prevalence of chronic diseases and limited public healthcare resources. This study aims to develop a predictive model for hospitalization using longitudinal data from the Mexican Health and Aging Study (MHAS) using the random forest (RF) algorithm. : An RF-based machine learning model was designed and evaluated under different data partition strategies (ST) with and without variable interaction.
View Article and Find Full Text PDFWildland fire entrainment: The missing link between wildland fire and its environment.
PNAS Nexus
January 2025
Southern Research Station, US Forest Service, 320 Green Street, Athens, GA 30602, USA.
Wildfires are growing in destructive power, and accurately predicting the spread and intensity of wildland fire is essential for managing ecological and societal impacts. No current operational models used for fire behavior prediction resolve critical fire-atmospheric coupling or nonlocal influences of the fire environment, rendering them inadequate in accounting for the range of wildland fire behavior scenarios under increasingly novel fuel and climate conditions. Here, we present a new perspective on a dominant fire-atmospheric feedback mechanism, which we term wildland fire entrainment (WFE).
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