AIMC Topic: Decision Making

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Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings.

BMC medical informatics and decision making Aug 20, 2020
BACKGROUND: Despite the vagueness and uncertainty that is intrinsic in any medical act, interpretation and decision (including acts of data reporting and representation of relevant medical conditions), still little research has focused on how to expl...
Humans Machine Learning Research Design Physicians Reproducibility of Results Surveys and Questionnaires Decision Making Fuzzy Logic Knowledge
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Evaluation of the COVID-19 Pandemic Intervention Strategies with Hesitant F-AHP.

Journal of healthcare engineering Aug 20, 2020
In this study, a hesitant fuzzy AHP method is presented to help decision makers (DMs), especially policymakers, governors, and physicians, evaluate the importance of intervention strategy alternatives applied by various countries for the COVID-19 pan...
SARS-CoV-2 Research Design Fuzzy Logic Humans Pneumonia, Viral Decision Making Coronavirus Infections Physicians Pandemics Betacoronavirus Clinical Decision-Making COVID-19
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Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game.

Scientific reports Aug 17, 2020
Predicting and modeling human behavior and finding trends within human decision-making processes is a major problem of social science. Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competi...
Competitive Behavior Artificial Intelligence Game Theory Algorithms Female Markov Chains Memory Male Humans Decision Making
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Improving the accuracy of medical diagnosis with causal machine learning.

Nature communications Aug 11, 2020
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis...
Machine Learning Algorithms Diagnosis, Computer-Assisted Humans Data Collection Decision Making Disease Data Accuracy Models, Statistical Diagnosis Bayes Theorem
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Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization.

PloS one Jul 17, 2020
This study establishes a model of prefabricated building project risk management system based on the Modified Teaching-Learning-Based-Optimization (MTLBO) algorithm and a prediction model of deep learning multilayer feedforward neural network (Backpr...
Facility Design and Construction Deep Learning Decision Making Risk Management Safety
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Robotic assessment of rapid motor decision making in children with perinatal stroke.

Journal of neuroengineering and rehabilitation Jul 14, 2020
BACKGROUND: Activities of daily living frequently require children to make rapid decisions and execute desired motor actions while inhibiting unwanted actions. Children with hemiparetic cerebral palsy due to perinatal stroke may have deficits in exec...
Humans Male Aging Female Young Adult Decision Making Activities of Daily Living Robotics Adolescent Psychomotor Performance Stroke Cerebral Palsy Inhibition, Psychological Paresis Child Executive Function Magnetic Resonance Imaging Exoskeleton Device
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Deep Reinforcement Learning and Its Neuroscientific Implications.

Neuron Jul 13, 2020
The emergence of powerful artificial intelligence (AI) is defining new research directions in neuroscience. To date, this research has focused largely on deep neural networks trained using supervised learning in tasks such as image classification. Ho...
Reinforcement, Psychology Neurosciences Models, Neurological Decision Making Models, Psychological Neural Networks, Computer Algorithms Deep Learning
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Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data.

Applied ergonomics Jul 6, 2020
The aim of this study is to investigate the usefulness of the anomaly detection method by one-class support vector machine (OCSVM) for the evaluation of mental workload (MWL) during automobile driving. Twelve students (six males and six females) part...
Decision Making Workload Automobile Driving Eye Movements Time Factors Support Vector Machine Head Task Performance and Analysis Blinking Humans Young Adult Male Computer Simulation Female
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Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples.

Ophthalmology Jun 26, 2020
PURPOSE: To illustrate what is inside the so-called black box of deep learning models (DLMs) so that clinicians can have greater confidence in the conclusions of artificial intelligence by evaluating adversarial explanation on its ability to explain ...
Decision Making Optic Disk Humans Glaucoma Middle Aged Machine Learning Artificial Intelligence Deep Learning Female ROC Curve Male
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Participatory modelling for poverty alleviation using fuzzy cognitive maps and OWA learning aggregation.

PloS one Jun 8, 2020
Participatory modelling is an emerging approach in the decision-making process through which stakeholders contribute to the representation of the perceived causal linkages of a complex system. The use of fuzzy cognitive maps (FCMs) for participatory ...
Humans Policy Making Fuzzy Logic India Decision Making Poverty
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