Search results for "Decision Making"
showing 10 items of 492 documents
Prognostic assessment and treatment of primary gastric lymphomas: how endoscopic ultrasonography can help in tailoring patient management.
2013
Endoscopic ultrasonography (EUS) has recently gained a pivotal role in the management of gastric lymphomas, especially in the diagnostic workup. Its accuracy and reliability have overcome those of other imaging techniques, such that it represents an invaluable tool for the management of gastric lymphomas. Although this technique is operator dependent, its application in large series has proved its reliability. Thus, it has generally been considered a useful tool for providing information crucial in deciding the treatment program, especially for mucosa-associated lymphoid tissue (MALT) lymphomas, for which EUS can provide an accurate evaluation of disease extension and treatment response pro…
Educational needs in gastrointestinal cancer: a consensus position paper from the ESMO Gastrointestinal Cancer Faculty
2019
Gastrointestinal (GI) cancers are common in all parts of the world. Effective prevention and early detection of GI cancers are not universally implemented. Therefore, it must be anticipated that the incidence and the mortality of GI cancers will remain high within the next decades. The European Society for Medical Oncology (ESMO) Gastrointestinal Cancer Faculty aims to increase the skills of medical oncologists and other disciplines involved in treating GI malignancies. We aimed to increase the survival chances for patients with GI cancers, augment their quality of life and enable successful return to normal social and professional life during the period of survivorship. ESMO also aims to d…
Liquid Biopsy in Cancer Patients: The Hand Lens to Investigate Tumor Evolution
2017
In recent years the treatment of cancer patients has profoundly changed due to a better comprehension of the biological processes underlying tumor development and progression. Several tumors are defined as “oncogene addicted” and this discovery has led the way to the development of target therapies that are able to specifically kill cancer cells sparing normal cells from toxicity. Nowadays treatment decision is strictly dependent on the molecular characterization of the tumor; thus the path of cancer patients’ survival is tissue dependent but this may have several limitations. Indeed a single tissue biopsy represents only a snapshot limited in time and space but we are learning that tumor e…
Social and emotional functions in three patients with medial frontal lobe damage including the anterior cingulate cortex
2006
INTRODUCTION: The aim of this study was to explore social and emotional functions in patients with medial frontal damage including the anterior cingulate cortex (ACC). METHODS: Three patients with medial frontal lobe lesions primarily involving the ACC performed tasks on motivational decision making, emotional facial expression recognition, and social cognition, including theory of mind (ToM). Their performance on these tasks was compared with age and education matched healthy controls. RESULTS: Patient performance on the motivational decision making and social situations tasks did not differ from controls. Selective emotional facial expression recognition impairment for fear was evident in…
The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond int…
2019
We propose an updated version of the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, which we argue to be valid for several types of addictive behaviors, such as gambling, gaming, buying-shopping, and compulsive sexual behavior disorders. Based on recent empirical findings and theoretical considerations, we argue that addictive behaviors develop as a consequence of the interactions between predisposing variables, affective and cognitive responses to specific stimuli, and executive functions, such as inhibitory control and decision-making. In the process of addictive behaviors, the associations between cue-reactivity/craving and diminished inhibitory control contribute to th…
Participación informada en el Programa de Prevención del Cáncer Colorrectal de la Comunidad Valenciana desde una perspectiva de género
2018
Abstract Objective: To examine the factors that influence informed participation in a Colorectal Cancer Screening Programme (CRCSP) from a gender perspective. Methods: Cross-sectional telephone survey directed to men and women invited to participate (2009-2010) in the Valencian Community CRCSP (Spain). Sample size: 785 subjects. Outcome variables: participation in CRCSP and being informed. Bivariate and multivariate analysis using logistic regression models (95% confidence interval [95%CI], p <0.05). Results: Being a woman (odds ratio [OR]: 1.52; 95%CI: 1.06-2.19), receiving information from a general practitioner (OR: 1.64; 95%CI: 1.05-2.55) and being informed (OR: 1.54; 95%CI: 1.08-2.21) …
Quantum like modelling of decision making: quantifying uncertainty with the aid of the Heisenberg-Robertson inequality
2018
This paper contributes to quantum-like modeling of decision making (DM) under uncertainty through application of Heisenberg’s uncertainty principle (in the form of the Robertson inequality). In this paper we apply this instrument to quantify uncertainty in DM performed by quantum-like agents. As an example, we apply the Heisenberg uncertainty principle to the determination of mutual interrelation of uncertainties for “incompatible questions” used to be asked in political opinion pools. We also consider the problem of representation of decision problems, e.g., in the form of questions, by Hermitian operators, commuting and noncommuting, corresponding to compatible and incompatible questions …
Monitoring multidimensional phenomena with a multicriteria composite performance interval approach
2021
[EN] In the last two decades, the construction of composite indicators to measure and compare multidimensional phenomena in a broad spectrum of domains has increased considerably. Different methodological approaches are used to summarise huge datasets of information in a single figure. This paper proposes a new approach that consists in computing a multicriteria composite performance interval based on different aggregation rules. The suggested approach provides an additional layer of information as the performance interval displays a lower bound from a non-compensability perspective, and an upper bound allowing for full-compensability. The outstanding features of this proposal are: 1) a dis…
A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning
2016
Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies n…
Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector
2023
Performance Shaping Factors (PSFs) are contextual, individual, and cognitive factors used in Human Reliability Analysis (HRA) to quantify the worker contribution to errors when performing a generic task. Although the empirical evidence demonstrates the existence of PSF interrelationships, the majority of HRA methods assume their independence. As a consequence, the resulting Human Error Probability (HEP) might be over- or underestimated. To deal with this issue, only a few qualitative guidelines or statistical-based approaches have been proposed so far. While the former are not well structured, the latter require a high computational effort and a proper number of input data. Therefore, the p…