AIMC Topic: Decision Making

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Speed-accuracy tradeoff by a control signal with balanced excitation and inhibition.

Journal of neurophysiology
A hallmark of flexible behavior is the brain's ability to dynamically adjust speed and accuracy in decision-making. Recent studies suggested that such adjustments modulate not only the decision threshold, but also the rate of evidence accumulation. H...

Does Robotic Telerounding Enhance Nurse-Physician Collaboration Satisfaction About Care Decisions?

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
BACKGROUND: Delivering healthcare using remote robotic telepresence is an evolving practice in medical and surgical intensive critical care units and will likely have varied implications for work practices and working relationships in intensive care ...

How to decide which infant can have robotic surgery? Just do the math.

Journal of pediatric urology
BACKGROUND: In pediatric urology, robot-assisted surgery has overcome several impediments of conventional laparoscopy. However, workspace has a major impact on surgical performance. The limited space in an infant can significantly impede the mobility...

Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals.

IEEE transactions on neural networks and learning systems
Penetration of renewable energy resources, such as wind and solar power, into power systems significantly increases the uncertainties on system operation, stability, and reliability in smart grids. In this paper, the nonparametric neural network-base...

Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.

Journal of biomedical informatics
Modern healthcare is getting reshaped by growing Electronic Medical Records (EMR). Recently, these records have been shown of great value towards building clinical prediction models. In EMR data, patients' diseases and hospital interventions are capt...

Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making.

Journal of neuroscience methods
BACKGROUND: The information obtained from signal recorded with extracellular electrodes is essential in many research fields with scientific and clinical applications. These signals are usually considered as a point process and a spike detection meth...

Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations.

Environmental science and pollution research international
Biological oxygen demand (BOD) is the most significant water quality parameter and indicates water pollution with respect to the present biodegradable organic matter content. European countries are therefore obliged to report annual BOD values to Eur...

A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision.

IEEE transactions on visualization and computer graphics
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This article presents a comprehensive survey of deep learning in sports performance, focusing on three main ...