Results 61 to 70 of about 8,137,182 (304)
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Diagnostics, 2022 Raman Spectroscopy has long been anticipated to augment clinical decision making, such as classifying oncological samples. Unfortunately, the complexity of Raman data has thus far inhibited their routine use in clinical settings.
Nathan Blake +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source
Design and Psychometric Properties of Developmental Tasks Scale [PDF]
Taḥqīqāt-i ̒Ulūm-i Raftārī, 2023 Aim and Background: Studies have showed that psycho-social performance is related to knowledge of developmental tasks. Due to loss of scale for developmental tasks’ assessment in the Iranian community, the present study was conducted to determine the ...
Ali Reza Pirkha'efi +2 more
doaj
Вопросы лесной науки, 2023 This paper provides an overview of scientific publications in Russia and other countries devoted to the soil organic carbon (SOC) content and stocks mapping at the regional and local levels. The analysis showed that the cartographic assessment of the SOC
N. V. Gopp +4 more
doaj +1 more source
Procrustes Cross-Validation — a Bridge Between Cross-Validation and Independent Validation Set [PDF]
Analytical Chemistry, 2020 In this paper we propose a new approach for validation of chemometric models. It is based on k-fold cross-validation algorithm, but, in contrast to conventional cross-validation, our approach makes possible to create a new dataset, which carries sampling uncertainty estimated by the cross-validation procedure. This dataset, called pseudo-validation set,
Sergey Kucheryavskiy +3 more
openaire +2 more sources
Cross-Validation: A Method Every Psychologist Should Know
Advances in Methods and Practices in Psychological Science, 2020 Cross-validation is a statistical procedure that every psychologist should know. Most are possibly familiar with the procedure in a global way but have not used it for the analysis of their own data. We introduce cross-validation for the purpose of model
Mark de Rooij, W. Weeda
semanticscholar +1 more source
On the marginal likelihood and cross-validation [PDF]
Biometrika, 2019 In Bayesian statistics, the marginal likelihood, also known as the evidence, is used to evaluate model fit as it quantifies the joint probability of the data under the prior.
Edwin Fong, C. Holmes
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
Applied Sciences, 2017 Soil spectroscopy is known as a rapid and cost-effective method for predicting soil properties from spectral data. The objective of this work was to build a statistical model to predict soil carbon content from spectral data by partial least squares ...
Lizardo Reyna +3 more
doaj +1 more source