Results 11 to 20 of about 228,750 (250)

Metacognitive Strategy Training Improves Decision-Making Abilities in Amnestic Mild Cognitive Impairment

Journal of Intelligence, 2023
Mild cognitive impairment (MCI) is associated with deficits in decision-making, which is of utmost importance for daily functioning. Despite evidence of declined decision-making abilities, research on decision-making interventions for MCI is scarce.
Foteini Aikaterini Pikouli, Despina Moraitou, Georgia Papantoniou, Maria Sofologi, Vasileios Papaliagkas, Georgios Kougioumtzis, Eleni Poptsi, Magdalini Tsolaki   +7 more
doaj   +1 more source

Justification of Indication for Cranial CT Imaging after Mild Traumatic Brain Injury According to the Current National Guidelines

Diagnostics, 2023
The primary aim was to evaluate the compliance of cranial CT indication with the national guideline-based decision rules in patients after mTBI. The secondary aim was to determine the incidence of CT pathologies among justified and unjustified CT scans ...
Andreas Sakkas, Christel Weiß, Frank Wilde, Marcel Ebeling, Mario Scheurer, Oliver Christian Thiele, Robert Andreas Mischkowski, Sebastian Pietzka   +7 more
doaj   +1 more source

Refined Expected Value Decision Rules under Orthopair Fuzzy Environment

Mathematics, 2020
Refined expected value decision rules can refine the calculation of the expected value and make decisions by estimating the expected values of different alternatives, which use many theories, such as Choquet integral, PM function, measure and so on ...
Yige Xue, Yong Deng
doaj   +1 more source

On some analogies between one-criterion decision making under uncertainty and multi-criteria decision making under certainty

Economics and Business Review, 2021
One-criterion decision making under uncertainty (1-DM/U) is related to situations in which the decision maker (DM) evaluates the alternatives on the basis of one objective, but e.g.
Gaspars-Wieloch Helena
doaj   +1 more source

Establishment of Decision Rules and Risk Assessment Model for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer

Frontiers in Oncology, 2020
Background: Preoperative accurate prediction of lymph node status is especially important for the formulation of treatment plans for patients with gastric cancer (GC).
Chao Huang, Cegui Hu, Jinfeng Zhu, Wenjun Zhang, Jun Huang, Zhengming Zhu   +5 more
doaj   +1 more source

The method of rating committee vote algorithms in classification problems with teacher

Zaporožskij Medicinskij Žurnal, 2013
The algorithm of method of voting of committee of classifiers is offered in the task of construction of decision rules of discrimination of objects on не-сколько classes, based on the calculation of rating of belonging of the classified standard to every
М. M. Nessonova
doaj   +1 more source

Zebrafish aggression on the sub-second time scale: evidence for mutual motor coordination and multi-functional attack manoeuvres [PDF]

Royal Society Open Science, 2018
Most animals fight by repeating complex stereotypic behaviours, yet the internal structure of these behaviours has rarely been dissected in detail. We characterized the internal structure of fighting behaviours by developing a machine learning pipeline ...
Andres Laan, Marta Iglesias-Julios, Gonzalo G. de Polavieja   +2 more
doaj   +1 more source

Performance and Accuracy Comparisons of Classification Methods and Perspective Solutions for UAV-Based Near-Real-Time “Out of the Lab” Data Processing

Sensors, 2022
Today, integration into automated systems has become a priority in the development of remote sensing sensors carried on drones. For this purpose, the primary task is to achieve real-time data processing.
Zsófia Varga, Fanni Vörös, Márton Pál, Béla Kovács, András Jung, István Elek   +5 more
doaj   +1 more source

Extracting Decision Rules from Linguistic Data Describing Economic Phenomena. The Approach Based on Decision Systems over Ontological Graphs and PSO

Barometr Regionalny, 2014
The aim of the paper is to present a heuristic method for extracting the most general decision rules from linguistic data describing economic phenomena included in simple decision systems over ontological graphs. Such decision systems have been proposed
Krzysztof Pancerz, Arkadiusz Lewicki
doaj   +1 more source

Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning Method

Life, 2022
SARS-CoV-2 shows great evolutionary capacity through a high frequency of genomic variation during transmission. Evolved SARS-CoV-2 often demonstrates resistance to previous vaccines and can cause poor clinical status in patients.
Feiming Huang, Lei Chen, Wei Guo, Xianchao Zhou, Kaiyan Feng, Tao Huang, Yudong Cai   +6 more
doaj   +1 more source