AIMC Topic:
Computer Simulation

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Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature.

Journal of infection and public health Jun 16, 2020
BACKGROUND: Healthcare-associated infections (HAIs) are the most frequent adverse events in healthcare and a global public health concern. Surveillance is the foundation for effective HAIs prevention and control. Manual surveillance is labor intensiv...
Infection Control Surgical Wound Infection Cross Infection Computer Simulation Retrospective Studies Risk Factors Humans Artificial Intelligence
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A neurodynamic optimization approach for complex-variables programming problem.

Neural networks : the official journal of the International Neural Network Society Jun 13, 2020
A neural network model upon differential inclusion is designed for solving the complex-variables convex programming, and the chain rule for real-valued function with the complex-variables is established in this paper. The model does not need to choos...
Neural Networks, Computer Algorithms Computer Simulation
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Toward automatic C-arm positioning for standard projections in orthopedic surgery.

International journal of computer assisted radiology and surgery Jun 12, 2020
PURPOSE: Guidance and quality control in orthopedic surgery increasingly rely on intra-operative fluoroscopy using a mobile C-arm. The accurate acquisition of standardized and anatomy-specific projections is essential in this process. The correspondi...
Lumbar Vertebrae Femur Orthopedic Procedures Deep Learning Imaging, Three-Dimensional Fluoroscopy Humans Computer Simulation Tomography, X-Ray Computed
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Electrical Impedance Tomography-Based Abdominal Subcutaneous Fat Estimation Method Using Deep Learning.

Computational and mathematical methods in medicine Jun 11, 2020
This paper proposes a deep learning method based on electrical impedance tomography (EIT) to estimate the thickness of abdominal subcutaneous fat. EIT for evaluating the thickness of abdominal subcutaneous fat is an absolute imaging problem that aims...
Subcutaneous Fat, Abdominal Deep Learning Computational Biology Image Interpretation, Computer-Assisted Algorithms Humans Electric Impedance Computer Simulation Neural Networks, Computer Phantoms, Imaging Tomography, X-Ray Computed Tomography
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Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Molecular pharmaceutics Jun 8, 2020
Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to xenobiotics in humans and the leading cause of postmarketing withdrawals of approved drugs. To date, these drugs have been collated by the FDA to form the DILIRank da...
Databases, Factual Computer Simulation Chemical and Drug Induced Liver Injury Liver Bayes Theorem Humans Databases, Pharmaceutical Drug-Related Side Effects and Adverse Reactions Biopharmaceutics Machine Learning Drug Approval Software Algorithms
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Drug delivery: Experiments, mathematical modelling and machine learning.

Computers in biology and medicine Jun 5, 2020
We address the problem of determining from laboratory experiments the data necessary for a proper modeling of drug delivery and efficacy in anticancer therapy. There is an inherent difficulty in extracting the necessary parameters, because the experi...
Computer Simulation Models, Theoretical Pharmaceutical Preparations Neural Networks, Computer Machine Learning
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The Study on the hERG Blocker Prediction Using Chemical Fingerprint Analysis.

Molecules (Basel, Switzerland) Jun 4, 2020
Human ether-a-go-go-related gene (hERG) potassium channel blockage by small molecules may cause severe cardiac side effects. Thus, it is crucial to screen compounds for activity on the hERG channels early in the drug discovery process. In this study,...
Computer Simulation Drug Discovery Models, Molecular Humans Machine Learning Algorithms Potassium Channel Blockers Quantitative Structure-Activity Relationship Ether-A-Go-Go Potassium Channels
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Borrowing external information to improve Bayesian confidence propagation neural network.

European journal of clinical pharmacology Jun 1, 2020
PURPOSE: A Bayesian confidence propagation neural network (BCPNN) is a signal detection method used by the World Health Organization Uppsala Monitoring Centre to analyze spontaneous reporting system databases. We modify the BCPNN to increase its sens...
Databases, Factual Drug-Related Side Effects and Adverse Reactions Computer Simulation Humans Adverse Drug Reaction Reporting Systems Bayes Theorem Neural Networks, Computer
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An artificial intelligence decision support system for the management of type 1 diabetes.

Nature metabolism Jun 1, 2020
Type 1 diabetes (T1D) is characterized by pancreatic beta cell dysfunction and insulin depletion. Over 40% of people with T1D manage their glucose through multiple injections of long-acting basal and short-acting bolus insulin, so-called multiple dai...
Blood Glucose Humans Insulin Infusion Systems Insulin Diabetes Mellitus, Type 1 Computer Simulation Artificial Intelligence Hypoglycemia Decision Support Systems, Clinical Hyperglycemia Reproducibility of Results Disease Management Hypoglycemic Agents Adult Glycemic Control Algorithms
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Method for extraction of airborne LiDAR point cloud buildings based on segmentation.

PloS one May 29, 2020
The LiDAR technology is a means of urban 3D modeling in recent years, and the extraction of buildings is a key step in urban 3D modeling. In view of the complexity of most airborne LiDAR building point cloud extraction algorithms that need to combine...
Machine Learning Software Algorithms Humans Lasers Cloud Computing Computer Simulation Remote Sensing Technology Construction Industry
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