Results 161 to 170 of about 32,516 (266)

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

Enhancing mathematical learning outcomes through a low-cost single-channel BCI system. [PDF]

NPJ Sci Learn
Hou Z, Li X, Yang J, Xu SY.
europepmc   +1 more source

The Role of Dice in the Emergence of the Probability Calculus

International Statistical Review, EarlyView.
Summary The early development of the probability calculus was clearly influenced by the roll of dice. However, while dice have been cast since time immemorial, documented calculations on the frequency of various dice throws date back only to the mid‐13th century.
David R. Bellhouse, Christian Genest
wiley   +1 more source

Shannon Entropy Computations in Navier-Stokes Flow Problems Using the Stochastic Finite Volume Method. [PDF]

Entropy (Basel)
Kamiński M, Ossowski RL.
europepmc   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

A STUDY ON THE ROLE OF DETERMINANTS AND RANDOM POTENTIALS OF LINEAR ALGEBRA IN COMPLEX MATHEMATICAL PROBLEM-SOLVING

KALE YOGESH YADAORAO
openalex   +2 more sources

Shannon Entropy in Uncertainty Quantification for the Physical Effective Parameter Computations of Some Nanofluids. [PDF]

Nanomaterials (Basel)
Kamiński M, Ossowski RL.
europepmc   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Brain plasticity underlying acquisition of new organizational skills in children: A Rashomon analysis. [PDF]

Front Neuroimaging
Martinez Agulleiro L, Deng B, Gallagher R, Abikoff HB, Yoncheva Y, Robinson L, Conlon G, Haroon M, Yan CG, Di Martino A, Zhao Y, Castellanos FX.   +11 more
europepmc   +1 more source

Understanding Nurses' Intention to Use Artificial Intelligence Technologies in Their Clinical Practice: A Survey‐Based Configurational Analysis

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aims The study focused on nurses' familiarity with, beliefs about, and attitudes towards artificial intelligence, aiming to identify configurations of necessary and sufficient conditions associated with strong intentions to use artificial intelligence‐based health technologies in their clinical practice. Design Cross‐sectional survey conducted
Louis Raymond, Guy Paré, Odette Doyon, Gerit Wagner   +3 more
wiley   +1 more source