Results 81 to 90 of about 2,724,979 (306)
Feature selection for classification of survival analysis in lymphoma cancer [PDF]
, 2013 Survival analysis is known to have great potential for classifying clinical dataset and it has not been fully explored for classifying lymphoma cancer.
Omar, Norshafarina
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An earlier study on children diagnosed with acute lymphoblastic leukemia (ALL) at Moi Teaching and Referral Hospital (MTRH) in Kenya reported a low event‐free survival (EFS), excess treatment abandonment, and high induction mortality.
Gilbert Olbara +7 more
wiley +1 more source
Survival Analysis with Multivariate adaptive Regression Splines [PDF]
, 2007 Multivariate adaptive regression splines (MARS) are a useful tool to identify linear and nonlinear effects and interactions between two covariates. In this dissertation a new proposal to model survival type data with MARS is introduced.
Kriner, Monika
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ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya +11 more
wiley +1 more source
Survival Prediction of Pediatric Leukemia under Model Uncertainty [PDF]
This dissertation addresses critical challenges in survival prediction for pediatric leukemia, particularly Acute Lymphoblastic Leukemia (ALL), by introducing novel predictive models that incorporate Bayesian principles and advanced machine learning and ...
Cui, Yuning
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Annals of Gastroenterological SurgeryAim We previously reported that abdominal aortic calcification is associated with poor overall and recurrence‐free survival after hepatectomy for hepatocellular carcinoma (HCC).
Yosuke Namba +19 more
doaj +1 more source
Explainable Survival Analysis of Censored Clinical Data Using a Neural Network Approach
BioMedInformaticsSurvival analysis is a statistical approach widely employed to model the time of an event, such as a patient’s death. Classical approaches include the Kaplan–Meier estimator and Cox proportional hazards regression, which assume a linear relationship ...
Lisa Anita De Santi +12 more
doaj +1 more source
Misperception of Body Weight After Childhood Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle +8 more
wiley +1 more source
Frontiers in ImmunologyBackgroundImmunotherapy has recently become a hot topic in the field of oncology, with PD-L1 playing a crucial role in this area. However, the research on PD-L1 correlation prediction models is not fully understood.
Meng Li-Fei +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows +19 more
wiley +1 more source