Results 121 to 130 of about 1,892,513 (283)
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source
A Comparison of the Predictive Ability of VAR, ARIMA and Artificial Neural Network (ANN) Models: OPEC’s Oil Demand [PDF]
Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2012 Awareness of the future oil demand is essential for OPEC member countries to determine priorities and policy selection for achieving economic growth and development.
Mostafa Gorgini +2 more
doaj
Energy Exploration & Exploitation, 2018 This study presents a prediction technique for the output current of a photovoltaic grid-connected system by using random forests technique. Experimental data of a photovoltaic grid-connected system are used to train and validate the proposed model ...
Ibrahim A Ibrahim +3 more
doaj +1 more source
Forecasting telecommunications data with linear models [PDF]
For telecommunication companies to successfully manage their business, companies rely on mapping future trends and usage patterns. However, the evolution of telecommunications technology and systems in the provision of services renders imperfections in ...
Madden, Gary G, Tan, Joachim
core +1 more source
Empirical risk minimization is consistent with the mean absolute percentage error
, 2015 We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE) regression.
de Myttenaere, Arnaud +2 more
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
AviationLots of researchers worldwide use a big variety of forecast models to predict demand. After running the forecast model, researcher always has a question if received prediction was accurate or not.
Danila Larin
doaj +1 more source
Binary Split Categorical Feature with Mean Absolute Error Criteria in CART
Proceedings of the AAAI Conference on Artificial IntelligenceIn the context of the Classification and Regression Trees (CART) algorithm, the efficient splitting of categorical features using standard criteria like GINI and Entropy is well-established. However, using the Mean Absolute Error (MAE) criterion for categorical features has traditionally relied on various numerical encoding methods.
Yu, Peng +4 more
openaire +2 more sources
Arthritis Care &Research, EarlyView.Objective There is growing interest in evaluating new strategies to delay or prevent posttraumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury. Methods Participants with a history of
Kevin Kennedy +9 more
wiley +1 more source