Results 51 to 60 of about 394,967 (298)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
Adaptive Mechanisms in an Airline Ticket Demand Forecasting System [PDF]
, 2003 Adaptivity is a very important feature for industrial forecast systems. In the airline industry, a reliable forecasting of a demand for tickets at different fare levels forms a crucial step in a global optimization process, the objective of which is to
Gabrys, Bogdan, Riedel, Silvia
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting
, 2019 The smart metering infrastructure has changed how electricity is measured in both residential and industrial application. The large amount of data collected by smart meter per day provides a huge potential for analytics to support the operation of a ...
D Alahakoon +14 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Intermittent Time Series Demand Forecasting Using Dual Convolutional Neural Networks
MendelForecasting intermittent demands is challenging due to their irregular and unpredictable demand pattern. This makes the businesses unprepared for upcoming demands, where the conventional methods often fail to predict the demand occurrence pattern ...
Sina Mirshahi +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
Electricity demand forecasting methodologies and applications: a review
Sustainable Energy ResearchElectricity demand forecasting has emerged as a critical area of research in recent times, driven by the necessity for accurate predictions of future load requirements.
Prosper O. Ugbehe +2 more
doaj +1 more source
The Effect of Rail Journey Time Improvements: Some Results and Lessons of British Experience Relevant to High Speed Rail Forecasting. [PDF]
, 1993 This paper discusses the British experience of forecasting the effect of journey time reductions on the demand for rail travel. Its purpose is to discuss results and methodologies from the British context which may be appropriate to other contexts, and ...
Wardman, M.
core
A decision support system for demand and capacity modelling of an accident and emergency department [PDF]
, 2019 © 2019 Operational Research Society.Accident and emergency (A&E) departments in England have been struggling against severe capacity constraints. In addition, A&E demands have been increasing year on year. In this study, our aim was to develop a decision
Demir, Eren +2 more
core +2 more sources