Results 71 to 80 of about 21,724,191 (341)
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
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 +3 more
wiley +1 more source
Despite significant advancements in multi-view multi-label learning driven by its broad applicability, real-world scenarios frequently suffer from dual incompleteness in both view and label spaces due to data acquisition uncertainties. The incompleteness
Shenrun Ding +4 more
doaj +1 more source
Database resources of the National Center for Biotechnology Information
The National Center for Biotechnology Information (NCBI) provides a large suite of online resources for biological information and data, including the GenBank® nucleic acid sequence database and the PubMed database of citations and abstracts for ...
Richa Tanya Jeff Dennis A Colleen Evan Devon J Rodney St Agarwala Barrett Beck Benson Bollin Bolton Bourexi +73 more
semanticscholar +1 more source
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez +13 more
wiley +1 more source
Incomplete multi-view partial multi-label classification via deep semantic structure preservation
Recent advances in multi-view multi-label learning are often hampered by the prevalent challenges of incomplete views and missing labels, common in real-world data due to uncertainties in data collection and manual annotation.
Chaoran Li +4 more
doaj +1 more source
Analyzing the solutions of DEA through information visualization and data mining techniques: SmartDEA framework [PDF]
Data envelopment analysis (DEA) has proven to be a useful tool for assessing efficiency or productivity of organizations, which is of vital practical importance in managerial decision making.
Akcay, Alp Eren +5 more
core +2 more sources
Pathogenic Germline PALB2 and RAD50 Variants in Patients With Relapsed Ewing Sarcoma
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 +12 more
wiley +1 more source
Siamese network with squeeze-attention for incomplete multi-view multi-label classification
Multi-view multi-label classification (MvMLC) has garnered significant interest because of its ability to handle complex datasets. However, the inherent complexity of real-world data often results in incomplete views and missing labels, which limit the ...
Mengqing Wang +4 more
doaj +1 more source
Data Aggregation and Information Loss [PDF]
Analysts often use a single average or otherwise aggregated price series to represent several geographic or product markets even when disaggregate data are available.
McKee, Gregory J., Miljkovic, Dragan
core +1 more source

