Results 171 to 180 of about 21,297 (247)
Identifying psychosis episodes in psychiatric admission notes via rule-based methods, machine learning, and pre-trained language models. [PDF]
Hua Y +5 more
europepmc +1 more source
Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies
ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas +39 more
wiley +1 more source
CREATE: a novel attention-based framework for efficient classification of transposable elements. [PDF]
Qi Y +7 more
europepmc +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
AlzStack: Forecasting early-onset Alzheimer's with an explainable AI system using multiple data balancing techniques. [PDF]
Modali VA +6 more
europepmc +1 more source
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity
Javier Cózar +3 more
openalex +2 more sources
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman +9 more
wiley +1 more source
A Robust Lemuria Framework for efficient crop prediction. [PDF]
Tamilselvi M +3 more
europepmc +1 more source
A Novel Methodology for Constructing Rule-Based Naïve Bayesian Classifiers
Abdallah Alashqur
openalex +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source

