Results 81 to 90 of about 1,960,778 (332)

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

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, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Validation of a Clinical Scoring System for Outcome Prediction in Dogs with Acute Kidney Injury Managed by Hemodialysis. [PDF]

, 2016
BackgroundA scoring system for outcome prediction in dogs with acute kidney injury (AKI) recently has been developed but has not been validated.HypothesisThe scoring system previously developed for outcome prediction will accurately predict outcome in a ...
Cowgill, LD, Kass, PH, Langston, C, Segev, G, Takada, K   +4 more
core  

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

A conceptual framework for prognostic research

BMC Medical Research Methodology, 2020
Background Prognostic research has many important purposes, including (i) describing the natural history and clinical course of health conditions, (ii) investigating variables associated with health outcomes of interest, (iii) estimating an individual’s ...
Peter Kent, Carol Cancelliere, Eleanor Boyle, J. David Cassidy, Alice Kongsted   +4 more
doaj   +1 more source

Theoretical progress for the associated production of a Higgs boson with heavy quarks at hadron colliders

, 2003
The production of a Higgs boson in association with a pair of top-antitop or bottom-antibottom quarks plays a very important role at both the Tevatron and the Large Hadron Collider.
Dawson, S., Jackson, C. B., Orr, L. H., Reina, L., Wackeroth, D.   +4 more
core   +1 more source

Association of abdominal obesity and systolic blood pressure indices with cardiovascular disease risk prediction among community-dwelling older adults [PDF]

, 2023
Acharaporn Duangjai, Naritsara Phanthurat, Wittawas Sajjapong, Atcharaporn Ontawong, Sirinat Pengnet, Atchariya Yosboonruang, Kamonwan Jongsomchai, Natthaphon Thatsanasuwan   +7 more
openalex   +1 more source

Predicting ventilator-associated pneumonia [PDF]

Annals of Translational Medicine, 2020
McEnery, Tom, Martin-Loeches, Ignacio
openaire   +2 more sources

Pathogenic Germline PALB2 and RAD50 Variants in Patients With Relapsed Ewing Sarcoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Approximately 10% of patients with Ewing sarcoma (EwS) have pathogenic germline variants. Here, we report two cases: first, a novel germline pathogenic variant in partner and localizer of BRCA2 (PALB2) in a patient with a late EwS relapse. Its impact on homologous recombination is demonstrated, and breast cancer risk is discussed.
Molly Mack, A. Carolina Tufino, Mohd Azrin Jamalruddin, Sreya Dey, Yinghong Pan, Elina Mukherjee, Jessica D. Daley, Julia Meade, Mahmoud Aarabi, Lisa Maurer, James Cooper, Kara A. Bernstein, Kelly M. Bailey   +12 more
wiley   +1 more source

LLCMDA: A Novel Method for Predicting miRNA Gene and Disease Relationship Based on Locality-Constrained Linear Coding

Frontiers in Genetics, 2018
MiRNAs are small non-coding regulatory RNAs which are associated with multiple diseases. Increasing evidence has shown that miRNAs play important roles in various biological and physiological processes.
Yu Qu, Huaxiang Zhang, Chen Lyu, Cheng Liang   +3 more
doaj   +1 more source

A learning-based method to predict LncRNA-disease associations by combining CNN and ELM

BMC Bioinformatics, 2022
Background lncRNAs play a critical role in numerous biological processes and life activities, especially diseases. Considering that traditional wet experiments for identifying uncovered lncRNA-disease associations is limited in terms of time consumption ...
Zhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang   +5 more
doaj   +1 more source