AIMC Topic: Decision Making

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Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry.

Future medicinal chemistry Dec 23, 2021
Predicting novel small molecule bioactivities for the target deconvolution, hit-to-lead optimization in drug discovery research, requires molecular representation. Previous reports have demonstrated that machine learning (ML) and deep learning (DL) h...
Deep Learning Decision Making Drug Repositioning Drug Industry Drug Delivery Systems Drug Discovery Blood-Brain Barrier Humans Artificial Intelligence Machine Learning
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Optimal Interaction Priority Calculation From Hesitant Fuzzy Preference Relations Based on the Monte Carlo Simulation Method for the Acceptable Consistency and Consensus.

IEEE transactions on cybernetics Dec 22, 2021
To address the situation where the complete consistency is unnecessary, a stepwise optimization model-based method for testing the acceptably additive consistency (AAC) of hesitant fuzzy preference relations (HFPRs) is introduced. Then, an AAC concep...
Consensus Fuzzy Logic Algorithms Decision Making Monte Carlo Method
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TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution.

IEEE transactions on cybernetics Dec 22, 2021
Agent-based simulation is a useful approach for the analysis of dynamic population evolution. In this field, the existing models mostly treat the migration behavior as a result of utility maximization, which partially ignores the endogenous mechanism...
Forecasting Decision Making Population Dynamics Computer Simulation China Humans United States Neural Networks, Computer
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How Clinicians Perceive Artificial Intelligence-Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach.

Journal of medical Internet research Dec 16, 2021
BACKGROUND: With the rapid development of artificial intelligence (AI) and related technologies, AI algorithms are being embedded into various health information technologies that assist clinicians in clinical decision making.
Algorithms Technology Humans Artificial Intelligence Decision Making Sentiment Analysis
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Industrial robot selection using a multiple criteria group decision making method with individual preferences.

PloS one Dec 16, 2021
This paper proposes a multiple criteria group decision making with individual preferences (MCGDM-IP) to address the robot selection problem (RSP). Four objective criteria elicitation approaches, namely, Shannon entropy approach, CRITIC approach, dist...
Robotics Models, Theoretical Humans Industry Personal Satisfaction Decision Making
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Predicting anesthetic infusion events using machine learning.

Scientific reports Dec 8, 2021
Recently, research has been conducted to automatically control anesthesia using machine learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we address the problem of predicting decisions made by anesthesiologists d...
Humans Machine Learning Anesthetics Decision Making Anesthesiologists
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Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model.

JAMA network open Dec 1, 2021
IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eGFR) after kidney transplant are characterized by intra-individual variability. These fluctuations hamper the distinction between alarming graft functi...
Female Reproducibility of Results Male Middle Aged Forecasting Patient-Specific Modeling Kidney Transplantation Glomerular Filtration Rate Humans Deep Learning Decision Making Cohort Studies
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Evaluation for hierarchical diagnosis and treatment policy proposals in China: A novel multi-attribute group decision-making method with multi-parametric distance measures.

The International journal of health planning and management Nov 30, 2021
The policy 'hierarchical medical treatment system' promulgated by the State Council of China is an effective way to solve the problem of insufficient and unbalanced medical resources. In response, governments in different provinces explore a variety ...
Fuzzy Logic Decision Making Research Design Policy China
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Complex pythagorean fuzzy aggregation operators based on confidence levels and their applications.

Mathematical biosciences and engineering : MBE Nov 29, 2021
The most important influence of this assessment is to analyze some new operational laws based on confidential levels (CLs) for complex Pythagorean fuzzy (CPF) settings. Moreover, to demonstrate the closeness between finite numbers of alternatives, th...
Fuzzy Logic Decision Making
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Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application.

Mathematical biosciences and engineering : MBE Nov 22, 2021
One of the most dominant and feasible technique is called the PHF setting is exist in the circumstances of fuzzy set theory for handling intricate and vague data in genuine life scenario. The perception of PHF setting is massive universal is compared...
Decision Making Algorithms Fuzzy Logic
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