Results 121 to 130 of about 48,962 (256)

A Comprehensive Study to Compare Different Compound Representations for Predicting Carcinogenicity In Vivo

Journal of Applied Toxicology, EarlyView.
ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira, Rogerio Salvini, Eloisa Dutra Caldas   +2 more
wiley   +1 more source

Alzheimer's disease: new insight in assessing of amyloid plaques morphologies using multifractal geometry based on Naive Bayes optimized by random forest algorithm. [PDF]

Sci Rep, 2023
Amin E, Elgammal YM, Zahran MA, Abdelsalam MM.   +3 more
europepmc   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Retracted: Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China. [PDF]

J Healthc Eng, 2023
Healthcare Engineering JO.
europepmc   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

Land Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

Flow cytometric phytoplankton concentration and optical properties across instruments and laboratories

Limnology and Oceanography: Methods, EarlyView.
Abstract Flow cytometry measures the optical properties of individual cells and has become essential for enumerating and characterizing marine phytoplankton. Yet systematic comparison of measurements across instruments remains limited, hampering data comparison across laboratories and long‐term time series.
Francois Ribalet, Anne W. Thompson, E. Virginia Armbrust, Raffaella Casotti, Josep M. Gasol, Emily Peacock, Massimo C. Pernice, Nicole J. Poulton, Heidi M. Sosik, Angelicque E. White, Zackary Johnson   +10 more
wiley   +1 more source

Sleep‐Autonomic Interactions in Parkinson's Disease and Multiple System Atrophy: A Comparative Study Using Structural Equation Modeling

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Parkinson's disease (PD) and multiple system atrophy (MSA) are α‐synucleinopathies with overlapping autonomic and sleep dysfunction, but distinct trajectories. Objectives This study compared sleep and autonomic profiles in PD and MSA and elucidated disease‐specific associations using structural equation modeling (SEM).
Bora Jin, Yoonkyung Lee, Seungho Lee, Byeol‐A Yoon, Young Jin Jeong, Sang‐Myung Cheon   +5 more
wiley   +1 more source

Measuring Software Maintainability with Naïve Bayes Classifier. [PDF]

Entropy (Basel), 2021
Iqbal N, Sang J, Chen J, Xia X.
europepmc   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

Neuroprotection, EarlyView.
Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu, Xinnan Liu, Yashuang Chen, Meng Pan, Ying Fu, Chao Ma, Wei Ge   +6 more
wiley   +1 more source

The Identification and Analysis of the Centers of Geographical Public Opinions in Flood Disasters Based on Improved Naïve Bayes Network. [PDF]

Int J Environ Res Public Health, 2022
Tang H, Xu H, Rui X, Heng X, Song Y.
europepmc   +1 more source