AIMC Topic: Algorithms

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Making Sense of Pharmacovigilance and Drug Adverse Event Reporting: Comparative Similarity Association Analysis Using AI Machine Learning Algorithms in Dogs and Cats.

Topics in companion animal medicine Sep 30, 2019
Drug-associated adverse events cause approximately 30 billion dollars a year of added health care expense, along with negative health outcomes including patient death. This constitutes a major public health concern. The US Food and Drug Administratio...
Drug-Related Side Effects and Adverse Reactions Animals Ivermectin Drug Combinations Pharmacovigilance Dogs Cats Artificial Intelligence Macrolides Machine Learning Algorithms
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A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.

Medical hypotheses Sep 30, 2019
Magnetic resonance imaging (MRI) images can be used to diagnose brain tumors. Thanks to these images, some methods have so far been proposed in order to distinguish between benign and malignant brain tumors. Many systems attempting to define these tu...
Predictive Value of Tests Entropy Support Vector Machine Magnetic Resonance Imaging Fuzzy Logic Brain Neoplasms Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Predicting short- and long-term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine-learning algorithms.

Diabetes, obesity & metabolism Sep 30, 2019
AIM: To assess the potential of supervised machine-learning techniques to identify clinical variables for predicting short-term and long-term glycated haemoglobin (HbA1c) response after insulin treatment initiation in patients with type 2 diabetes me...
Algorithms Diabetes Mellitus, Type 2 Female Hypoglycemic Agents Aged Glycated Hemoglobin Male Humans Middle Aged Insulin Machine Learning
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Neural network methodology for real-time modelling of bio-heat transfer during thermo-therapeutic applications.

Artificial intelligence in medicine Sep 30, 2019
Real-time simulation of bio-heat transfer can improve surgical feedback in thermo-therapeutic treatment, leading to technical innovations to surgical process and improvements to patient outcomes; however, it is challenging to achieve real-time comput...
Hot Temperature Hyperthermia, Induced Finite Element Analysis Neural Networks, Computer Humans Algorithms Models, Biological
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Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library.

International journal of molecular sciences Sep 30, 2019
The constitutive androstane receptor (CAR) plays pivotal roles in drug-induced liver injury through the transcriptional regulation of drug-metabolizing enzymes and transporters. Thus, identifying regulatory factors for CAR activation is important for...
Algorithms Reproducibility of Results Drug Discovery Deep Learning Ligands Quantitative Structure-Activity Relationship Receptors, Cytoplasmic and Nuclear Small Molecule Libraries Constitutive Androstane Receptor
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Stable memory with unstable synapses.

Nature communications Sep 30, 2019
What is the physiological basis of long-term memory? The prevailing view in Neuroscience attributes changes in synaptic efficacy to memory acquisition, implying that stable memories correspond to stable connectivity patterns. However, an increasing b...
Memory, Long-Term Homeostasis Nerve Net Memory Learning Neuronal Plasticity Models, Neurological Neurons Nonlinear Dynamics Synapses Software Algorithms Computer Simulation Neural Networks, Computer
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LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes.

PLoS computational biology Sep 30, 2019
Cancer driver genes, i.e., oncogenes and tumor suppressor genes, are involved in the acquisition of important functions in tumors, providing a selective growth advantage, allowing uncontrolled proliferation and avoiding apoptosis. It is therefore imp...
Humans Machine Learning Computational Biology Models, Statistical Oncogenes Software Algorithms Neoplasms
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Automated grading of acne vulgaris by deep learning with convolutional neural networks.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Sep 29, 2019
BACKGROUND: The visual assessment and severity grading of acne vulgaris by physicians can be subjective, resulting in inter- and intra-observer variability.
Face Acne Vulgaris Photography Deep Learning Skin Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms
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On the relationship of machine learning with causal inference.

European journal of epidemiology Sep 27, 2019
Statistics as Topic Humans Machine Learning Algorithms
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Retinal vascular junction detection and classification via deep neural networks.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVES: The retinal fundus contains intricate vascular trees, some of which are mutually intersected and overlapped. The intersection and overlapping of retinal vessels represent vascular junctions (i.e. bifurcation and crossover) ...
Neural Networks, Computer Algorithms Databases, Factual Reproducibility of Results Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Humans Anisotropy Retinal Vessels Color Fundus Oculi Retina
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