Results 41 to 50 of about 146,575 (268)

Forecasting at Scale

The American Statistician, 2017
Forecasting is a common data science task that helps organizations with capacity planning, goal setting, and anomaly detection. Despite its importance, there are serious challenges associated with producing reliable and high quality forecasts — especially when there are a variety of time series and analysts with expertise in time series modeling are ...
Taylor, Sean J, Letham, Benjamin
openaire   +1 more source

Emapalumab for Immune Effector Cell‐Associated Hemophagocytic Lymphohistiocytosis‐Like Syndrome Following CD19‐Directed CAR‐T in Two Patients With B‐ALL: Clinical and Biomarker Correlates

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta, Jeremy D. Rubinstein, Christopher E. Dandoy, Ruby Khoury, Angela Faulhaber, Christine L. Phillips, Christa Krupski   +6 more
wiley   +1 more source

Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia

Forecasting
Models are a core element in performing local estimation of the climate change input. In this work, a novel approach to perform a fast downscaling of global temperature anomalies on a regional level is presented.
Sabrina De Nardi, Claudio Carnevale, Sara Raccagni, Lucia Sangiorgi   +3 more
doaj   +1 more source

Has EU Accession Boosted Patent Performance in the EU-13? A Critical Evaluation Using Causal Impact Analysis with Bayesian Structural Time-Series Models

Forecasting, 2022
This paper provides new insights into the causal effects of the enlargement of the European Union (EU) on patent performance. The study focuses on the new EU member states (EU-13) and accession is considered as an intervention whose causal effect is ...
Agnieszka Kleszcz, Krzysztof Rusek
doaj   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Bootstrapping Long-Run Covariance of Stationary Functional Time Series

Forecasting
A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal ...
Han Lin Shang
doaj   +1 more source

Precision and Reliability of Forecasts Performance Metrics

Forecasting, 2022
The selection of an accurate performance metric is highly important to evaluate the quality of a forecasting method. This evaluation may help to select between different forecasting tools of forecasting outputs, and then support many decisions within a ...
Philippe St-Aubin, Bruno Agard
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints

Forecasting
Early identification of acute gout is crucial, enabling healthcare professionals to implement targeted interventions for rapid pain relief and preventing disease progression, ensuring improved long-term joint function.
Lucas Lopes Oliveira, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi, Alireza Daneshkhah   +4 more
doaj   +1 more source

Forecasting Bitcoin Spikes: A GARCH-SVM Approach

Forecasting, 2022
This study aims to forecast extreme fluctuations of Bitcoin returns. Bitcoin is the first decentralized and the largest, in terms of capitalization, cryptocurrency.
Theophilos Papadimitriou, Periklis Gogas, Athanasios Fotios Athanasiou   +2 more
doaj   +1 more source