AIMC Topic: Decision Making

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Learning to activate logic rules for textual reasoning.

Neural networks : the official journal of the International Neural Network Society Jul 3, 2018
Most current textual reasoning models cannotlearn human-like reasoning process, and thus lack interpretability and logical accuracy. To help address this issue, we propose a novel reasoning model which learns to activate logic rules explicitly via de...
Humans Logic Memory Problem Solving Artificial Intelligence Learning Decision Making
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Evolutionary image simplification for lung nodule classification with convolutional neural networks.

International journal of computer assisted radiology and surgery May 29, 2018
PURPOSE: Understanding decisions of deep learning techniques is important. Especially in the medical field, the reasons for a decision in a classification task are as crucial as the pure classification results. In this article, we propose a new appro...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Decision Making Electronic Data Processing Algorithms Lung Diagnosis, Computer-Assisted Machine Learning Software
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Conformal Regression for Quantitative Structure-Activity Relationship Modeling-Quantifying Prediction Uncertainty.

Journal of chemical information and modeling May 10, 2018
Making predictions with an associated confidence is highly desirable as it facilitates decision making and resource prioritization. Conformal regression is a machine learning framework that allows the user to define the required confidence and delive...
Informatics Uncertainty Decision Making Quantitative Structure-Activity Relationship Machine Learning
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Decision Support Tools, Systems, and Artificial Intelligence in Cardiac Imaging.

The Canadian journal of cardiology May 9, 2018
Noninvasive cardiac imaging is widely used for the diagnosis and management of cardiac patients. The increasing demand for cardiac imaging begins to exceed the number of available interpreting physicians, leaving less time to interpret studies. In ad...
Humans Artificial Intelligence Forecasting Cardiac Imaging Techniques Cardiovascular Diseases Decision Making Systems Integration
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Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.

Computers in biology and medicine Apr 27, 2018
A large amount of digital image material is routinely captured during esophagogastroduodenoscopies but, for the most part, is not used for confirming the diagnosis process of celiac disease which is primarily based on histological examination of biop...
Pattern Recognition, Automated Humans Neural Networks, Computer Gastroscopy Deep Learning Machine Learning Algorithms Image Interpretation, Computer-Assisted Celiac Disease Image Processing, Computer-Assisted Decision Making Endoscopy Observer Variation Duodenum Biopsy Diagnosis, Computer-Assisted Automation
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Capturing multi-stage fuzzy uncertainties in hybrid system dynamics and agent-based models for enhancing policy implementation in health systems research.

PloS one Apr 25, 2018
BACKGROUND: In practical research, it was found that most people made health-related decisions not based on numerical data but on perceptions. Examples include the perceptions and their corresponding linguistic values of health risks such as, smoking...
Decision Making Research Algorithms Health Plan Implementation Delivery of Health Care Uncertainty Models, Theoretical Fuzzy Logic
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Nature Disaster Risk Evaluation with a Group Decision Making Method Based on Incomplete Hesitant Fuzzy Linguistic Preference Relations.

International journal of environmental research and public health Apr 13, 2018
Because the natural disaster system is a very comprehensive and large system, the disaster reduction scheme must rely on risk analysis. Experts' knowledge and experiences play a critical role in disaster risk assessment. The hesitant fuzzy linguistic...
Algorithms Natural Disasters Risk Assessment Decision Making Linguistics Fuzzy Logic
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ProFUSO: Business process and ontology-based framework to develop ubiquitous computing support systems for chronic patients' management.

Journal of biomedical informatics Apr 5, 2018
New advances in telemedicine, ubiquitous computing, and artificial intelligence have supported the emergence of more advanced applications and support systems for chronic patients. This trend addresses the important problem of chronic illnesses, high...
Vital Signs Models, Organizational Computer Graphics Medical Informatics Semantics Hospitalization Decision Support Systems, Clinical Decision Making Chronic Disease Telemedicine Information Storage and Retrieval Humans Artificial Intelligence
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Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans.

International journal of environmental research and public health Apr 3, 2018
Hesitant fuzzy linguistic term set provides an effective tool to represent uncertain decision information. However, the semantics corresponding to the linguistic terms in it cannot accurately reflect the decision-makers' subjective cognition. In gene...
Linguistics Uncertainty Humans Algorithms Reproducibility of Results Fuzzy Logic Decision Making Fires
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Grey Language Hesitant Fuzzy Group Decision Making Method Based on Kernel and Grey Scale.

International journal of environmental research and public health Mar 2, 2018
Based on grey language multi-attribute group decision making, a kernel and grey scale scoring function is put forward according to the definition of grey language and the meaning of the kernel and grey scale. The function introduces grey scale into t...
Decision Making Humans Sustainable Development Language Fuzzy Logic
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