AIMC Topic: Decision Making

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Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks.

Computational intelligence and neuroscience Sep 30, 2020
In recent years, environmental awareness has increased considerably, and in order to decrease endangerments such as air and water pollution, and also global warming, green procurement should be employed. Therefore, in the assessment of suppliers, the...
Commerce Neural Networks, Computer Fuzzy Logic Decision Making
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Sustainability prioritization of sewage sludge to energy scenarios with hybrid-data consideration: a fuzzy decision-making framework based on full consistency method and fusion ranking model.

Environmental science and pollution research international Sep 24, 2020
This work proposed a novel mathematical framework for the sustainability assessment of sewage sludge to energy (SStE) scenarios, by resorting to fuzzy multi-criteria decision-making (MCMD) methods. In which, an evaluation system including twelve crit...
Fuzzy Logic Decision Making Sewage Uncertainty
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Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Journal of diabetes research Sep 24, 2020
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas...
Diabetes Mellitus, Type 2 Logistic Models Decision Making Alcohol Drinking Middle Aged Aged Algorithms Asian People Humans Medically Underserved Area China Female Adult Waist Circumference Machine Learning Male Risk Factors Regression Analysis Smoking Surveys and Questionnaires Decision Trees Odds Ratio Area Under Curve
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Surrogates and Artificial Intelligence: Why AI Trumps Family.

Science and engineering ethics Sep 22, 2020
The increasing accuracy of algorithms to predict values and preferences raises the possibility that artificial intelligence technology will be able to serve as a surrogate decision-maker for incapacitated patients. Following Camillo Lamanna and Laure...
Artificial Intelligence Decision Making Morals Patient Preference Humans
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Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning.

Scientific reports Sep 15, 2020
Vision loss caused by diabetic macular edema (DME) can be prevented by early detection and laser photocoagulation. As there is no comprehensive detection technique to recognize NPA, we proposed an automatic detection method of NPA on fundus fluoresce...
Fundus Oculi Macular Edema Image Interpretation, Computer-Assisted Deep Learning Follow-Up Studies Decision Making Fluorescein Angiography Aged Aged, 80 and over Adult Algorithms Male Humans Prognosis Diabetic Retinopathy Middle Aged Female Neural Networks, Computer Diagnosis, Computer-Assisted
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Supervised classification techniques for prediction of mortality in adult patients with sepsis.

The American journal of emergency medicine Sep 12, 2020
BACKGROUND: Sepsis mortality is still unacceptably high and an appropriate prognostic tool may increase the accuracy for clinical decisions.
Decision Making Predictive Value of Tests Emergency Service, Hospital Hospitals, University Colombia Organ Dysfunction Scores Middle Aged Sepsis Hospital Mortality Female Aged Male Prospective Studies Prognosis Humans Artificial Intelligence
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I sympathise with both the supporters and naysayers of hierarchical communication rules.

BMJ (Clinical research ed.) Sep 8, 2020
Male Humans Deep Learning Decision Making Communication Information Seeking Behavior
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Robots join the care team: Making healthcare decisions safer with machine learning and robotics.

Healthcare (Amsterdam, Netherlands) Sep 6, 2020
Robotics Humans Machine Learning Decision Making
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Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots.

International journal of environmental research and public health Aug 28, 2020
Low-carbon tourism is an effective solution to cope with the goal conflict between developing tourist economy and responding to carbon emission reduction and ecological environment protection. Tourism scenic spots are important carriers of tourist ac...
Fuzzy Logic Carbon Decision Making Environment Travel Carbon Footprint China Leisure Activities Models, Theoretical Humans
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Artificial intelligence and soft skills in radiation oncology: Data versus wisdom.

Journal of medical imaging and radiation sciences Aug 25, 2020
COVID-19 Humans Decision Making Precision Medicine Artificial Intelligence SARS-CoV-2 Radiation Oncology Pandemics Patient Care Team
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