Results 21 to 30 of about 49,884 (221)
ABSTRACT Purpose Despite 5‐year survival rates of over 90% among children and adolescents/young adults (CAYAs) with classic Hodgkin lymphoma (cHL), 15%–20% relapse after frontline therapy. Prior analysis of frontline Children's Oncology Group (COG) clinical trials demonstrated that, despite similar rates of relapse, non‐Hispanic Black (NHB) and ...
Mallorie B. Heneghan +14 more
wiley +1 more source
# Background Large, rigorously collected clinical registries can ground the teaching of data‐driven decision making to trainees. The American College of Surgeons’ National Surgical Quality Improvement Program (ACS-NSQIP) is one of the world’s most ...
Thor S. Stead, Latha Ganti, Yuchen Hua
doaj +1 more source
Decision-making is increasingly guided by the integration of Multi-Criteria Decision-Making (MCDM) and Machine Learning (ML) approaches. Despite their complementary strengths, the literature lacks clarity on which forms of integration exist, what ...
Hatice Kocaman, Umut Asan
doaj +1 more source
ABSTRACT Introduction Anthracycline‐related cardiac remodeling precedes heart failure in childhood cancer survivors. The objectives of this study were to determine the relationships between patient‐specific factors, moderate‐to‐vigorous physical activity (MVPA), and cardiac remodeling.
Hari K. Narayan +15 more
wiley +1 more source
BAYESIAN INVENTORY CONTROL UNDER UNCERTAIN DEMAND: A DATA-DRIVEN LEARNING APPROACH
Effective inventory management under uncertainty remains a central challenge in supply chain systems, particularly when demand is stochastic, non-stationary, or partially observed.
Marcel ILIE, Augustin SEMENESCU
doaj +1 more source
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
ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families
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
Bayesian dynamic borrowing in group-sequential design for medical device studies
Background The integration of historical data into ongoing clinical trials through Bayesian Dynamic Borrowing offers significant advantages, including reduced sample size, trial duration, and associated costs.
Maria Vittoria Chiaruttini +2 more
doaj +1 more source
This paper proposes a hybrid framework for credit risk assessment and forecasting of credit-limit utilization in a retail lending portfolio. In contrast to traditional binary credit-scoring models that estimate only the probability of default, the ...
Viktor Danchuk, Oleksandr Linskyi
doaj +1 more source
It is very difficult to find a suitable location for a coffee processing plant from many alternatives. This research-developed a model by Analytic hierarchy pair wise that gives full information for a coffee processing plant to select a suitable location
Fasika Bete Georgise +2 more
doaj +1 more source

