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Skip search results from other journals and go to results- 740 Journal of Medical Internet Research
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Li et al [14] showed that most poisoning incidents among children are accidental, with 70.4% occurring at home. Accidental poisonings are more common in young children, particularly in those aged 1‐3 years, whereas intentional poisonings are more common among adolescents [15,16]. Furthermore, the clinical manifestations of acute poisoning in children are diverse, and some severe cases presenting consciousness disturbances and circulatory failure can be life-threatening.
JMIR Pediatr Parent 2025;8:e66951
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Minimum Data Set and Metadata for Active Vaccine Safety Surveillance: Systematic Review
JMIR Public Health Surveill 2025;11:e63161
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In contrast, other studies, such as Li et al [19] and Wang et al [20], observed considerably lower performance, with AUC values of 0.72 and 0.73, respectively. These discrepancies can be attributed to factors such as data quality, sample size, and model architecture. Low-quality datasets, such as retrospective studies or single-center studies, may introduce selection bias and limit the generalizability of models, thereby affecting the reliability of radiomics approaches in clinical practice [21].
J Med Internet Res 2025;27:e71091
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In the 2 studies that analyzed data at the nonpatient level, Li et al [12] in 2021 integrated 14 radiomic features and compared the RF model with a conventional LR model, achieving a sensitivity of 89.02%, a specificity of 64.91%, and an AUROC of 0.82 at the plaque level in the training set, with no statistically significant difference observed between the training set and the validation set (P=.58).
J Med Internet Res 2025;27:e68872
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We established the HICH knowledge graph (HKG) based on the Apache Jane triplet database and the RDF structured query language SPARQL. The HKG is able to extract, integrate, and align general medical information and HICH diagnostic and treatment-related data to enhance clarity of structure and improve retrieval performance. It serves as an external knowledge brain to augment text recognition and automated decision-making capabilities.
J Med Internet Res 2025;27:e66055
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