Results 61 to 70 of about 4,243,996 (253)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Outcomes for pediatric relapsed/refractory (R/R) acute myeloid leukemia (AML) remain dismal. CPX‐351, a liposomal formulation of cytarabine and daunorubicin, may have less off‐target toxicities than traditional chemotherapies and has shown improved outcomes for adults with newly diagnosed therapy‐related AML.
Jonathan D. Bender +17 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteonecrosis (ON) is a debilitating complication of acute lymphoblastic leukemia (ALL) therapy. While numerous studies have explored its incidence and associated risk factors, investigations using large‐scale cohorts remain important to characterize ON across heterogeneous populations.
Noémie de Villiers +5 more
wiley +1 more source
DEA with Missing Data: An Interval Data Assignment Approach [PDF]
Journal of Optimization in Industrial Engineering, 2015 In the classical data envelopment analysis (DEA) models, inputs and outputs are assumed as known variables, and these models cannot deal with unknown amounts of variables directly. In recent years, there are few researches on handling missing data.
Reza Kazemi Matin, Roza Azizi
doaj
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Transfusion‐related iron overload (TRIO) is a late effect of therapy impacting survivors of childhood cancer and hematopoietic stem cell transplantation (HSCT) who receive frequent packed red blood cell (pRBC) transfusions. Surprisingly, there are no accepted guidelines to assist providers in identifying and treating at‐risk ...
Luke Gingell +3 more
wiley +1 more source
Calibrated imputation of numerical data under linear edit restrictions [PDF]
, 2008 A common problem faced by statistical offices is that data may be missing from collected data sets. The typical way to overcome this problem is to impute the missing data.
De Waal, Ton +2 more
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
Imputation estimators for unnormalized models with missing data [PDF]
, 2019 Several statistical models are given in the form of unnormalized densities, and calculation of the normalization constant is intractable. We propose estimation methods for such unnormalized models with missing data.
Kim, Jae Kwang +3 more
core +3 more sources
Scalable Tensor Factorizations for Incomplete Data
, 2010 The problem of incomplete data - i.e., data with missing or unknown values - in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer vision, communication
Acar +35 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source
Clustering of Data with Missing Entries
, 2018 The analysis of large datasets is often complicated by the presence of missing entries, mainly because most of the current machine learning algorithms are designed to work with full data. The main focus of this work is to introduce a clustering algorithm,
Jacob, Mathews, Poddar, Sunrita
core +1 more source