AIMC Topic: Models, Theoretical

Clear Filters Showing 571 to 580 of 1953 articles

QSAR modeling without descriptors using graph convolutional neural networks: the case of mutagenicity prediction.

Molecular diversity Jun 19, 2021
Deep neural networks are effective in learning directly from low-level encoded data without the need of feature extraction. This paper shows how QSAR models can be constructed from 2D molecular graphs without computing chemical descriptors. Two graph...
Molecular Structure Bayes Theorem Mutagens Drug Discovery Deep Learning Models, Theoretical Quantitative Structure-Activity Relationship Neural Networks, Computer Mutagenesis Algorithms
View on PubMed DOI

Remaining Useful Life Prognostics of Bearings Based on a Novel Spatial Graph-Temporal Convolution Network.

Sensors (Basel, Switzerland) Jun 19, 2021
As key equipment in modern industry, it is important to diagnose and predict the health status of bearings. Data-driven methods for remaining useful life (RUL) prognostics have achieved excellent performance in recent years compared to traditional me...
Neural Networks, Computer Models, Theoretical Prognosis
View on PubMed DOI

Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction.

Scientific reports Jun 18, 2021
Machine learning (ML) has been suggested to improve the performance of prediction models. Nevertheless, research on predicting the risk in patients with acute myocardial infarction (AMI) has been limited and showed inconsistency in the performance of...
Models, Theoretical Non-ST Elevated Myocardial Infarction Area Under Curve Time Factors Hospital Mortality ROC Curve Aged Middle Aged Risk Assessment Machine Learning Reproducibility of Results Risk Factors Humans
View on PubMed DOI

Distributed optimal power flow.

PloS one Jun 18, 2021
OBJECTIVE: The objectives of this paper are to 1) construct a new network model compatible with distributed computation, 2) construct the full optimal power flow (OPF) in a distributed fashion so that an effective, non-inferior solution can be found,...
Electric Power Supplies Computer Simulation Models, Theoretical Electricity Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Medical recommender systems based on continuous-valued logic and multi-criteria decision operators, using interpretable neural networks.

BMC medical informatics and decision making Jun 11, 2021
BACKGROUND: Out of the pressure of Digital Transformation, the major industrial domains are using advanced and efficient digital technologies to implement processes that are applied on a daily basis. Unfortunately, this still does not happen in the s...
Models, Theoretical Logic Neural Networks, Computer Health Personnel Databases, Factual Humans
View on PubMed DOI

Applications of artificial intelligence to drug design and discovery in the big data era: a comprehensive review.

Molecular diversity Jun 10, 2021
Artificial intelligence (AI) renders cutting-edge applications in diverse sectors of society. Due to substantial progress in high-performance computing, the development of superior algorithms, and the accumulation of huge biological and chemical data...
Models, Theoretical Proteins Structure-Activity Relationship Drug Discovery Big Data Protein Binding Protein Interaction Mapping Protein Folding Databases, Pharmaceutical Models, Molecular Workflow Data Mining Humans Artificial Intelligence Algorithms Drug Design
View on PubMed DOI

Prediction of caregiver quality of life in amyotrophic lateral sclerosis using explainable machine learning.

Scientific reports Jun 10, 2021
Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative, fatal and currently incurable disease. People with ALS need support from informal caregivers due to the motor and cognitive decline caused by the disease. This study aims to identify ca...
Humans Machine Learning Algorithms Quality of Life Public Health Surveillance Decision Support Systems, Clinical Models, Theoretical Amyotrophic Lateral Sclerosis Caregivers
View on PubMed DOI

Automated scoring of pre-REM sleep in mice with deep learning.

Scientific reports Jun 10, 2021
Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accurac...
Sleep Stages Sleep, REM Algorithms Animals Deep Learning Sleep Mice Polysomnography Models, Theoretical
View on PubMed DOI

A convolutional neural network for estimating synaptic connectivity from spike trains.

Scientific reports Jun 8, 2021
The recent increase in reliable, simultaneous high channel count extracellular recordings is exciting for physiologists and theoreticians because it offers the possibility of reconstructing the underlying neuronal circuits. We recently presented a me...
Neural Networks, Computer Macaca fuscata Neurosciences Visual Cortex Temporal Lobe Action Potentials Signal Processing, Computer-Assisted Neurons Synapses Linear Models Neural Pathways Male Models, Theoretical Algorithms Models, Neurological Computer Simulation Animals
View on PubMed DOI

In silico prediction of drug-induced ototoxicity using machine learning and deep learning methods.

Chemical biology & drug design Jun 7, 2021
Drug-induced ototoxicity has become a serious global problem, because of leading to deafness in hundreds of thousands of people every year. It always results from exposure to drugs or environmental chemicals that cause the impairment and degeneration...
Humans Machine Learning Models, Theoretical Drug Discovery Glucosides Deep Learning Databases, Chemical User-Computer Interface Ototoxicity
View on PubMed DOI
Popular Topics
Recent Journals