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Miriam B. G. Morrell Rebecca Baker Abigail Johnson Ruth Santizo Diane Liu Karen Moody 《Pediatric blood & cancer》2019,66(10)
Data regarding micronutrient deficiencies in children with cancer are lacking. We measured micronutrients in a subset of children with cancer (n = 23) participating in a randomized trial of the neutropenic diet. Ninety‐six percent of children had ≥1 micronutrient deficiency and 39% had ≥3 micronutrient deficiencies. Eighty‐six percent of children had vitamin C deficiency, 87% had 25‐hydroxyvitamin D deficiency, 50% had zinc deficiency, and 13% had vitamin A deficiency. Dietary intake did not correlate with micronutrient deficiency status. More data are needed regarding the prevalence and etiology of micronutrient deficiencies in children with cancer to further understand their implications and treatment. 相似文献
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Shyla Jagannatha Davit Sargsyan Nikolay V. Manyakov Andrew Skalkin Abigail Bangerter Seth Ness 《Statistics In Biopharmaceutical Research》2019,11(2):111-117
AbstractThe Janssen Autism Knowledge Engine (JAKE®) collects a large number of features from five biosensors across a range of tasks. The application of data mining methods to these data may be a useful approach to enable objective discrimination between autism spectrum disorder (ASD) and typically developing (TD) participants. Following a prospective observational study using JAKE, ASD participants classified as “moderate” or “severe” based on total scores on the Social Responsiveness Scale, and TD participants were used to build models, using repeated cross-validation, to identify biosensor features contributing to diagnosis. Four different models (partial least squares, random forest, elastic net, and C5.0) were chosen to build diagnostic classifiers using the training set, and the fitted models were evaluated on the test set. Model performance on the training set, based on receiver operating characteristics (ROC), was moderate (area under ROC curve = 0.61–0.72), and model performance on the test set based on kappa statistic was between 0.40 and 0.46 across the four models. Data mining methods applied to biosensor data can lead to models that discriminate ASD from TD. This method may prove useful in creating new diagnostic tests for ASD. 相似文献
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Joshi Gagan DiSalvo Maura Faraone Stephen V. Wozniak Janet Fried Ronna Galdo Maribel Belser Abigail Hoskova Barbora Dallenbach Nina T. De Leon Melissa F. Biederman Joseph 《European child & adolescent psychiatry》2020,29(6):791-801
European Child & Adolescent Psychiatry - The objective of this study was to investigate the stability and predictive utility of autistic traits (ATs) in youth with... 相似文献