AIMC Topic: Machine Learning

Clear Filters Showing 21911 to 21920 of 34417 articles

Toward a unified framework for interpreting machine-learning models in neuroimaging.

Nature protocols Mar 18, 2020
Machine learning is a powerful tool for creating computational models relating brain function to behavior, and its use is becoming widespread in neuroscience. However, these models are complex and often hard to interpret, making it difficult to evalu...
Female Humans Young Adult Machine Learning Adolescent Adult Male Databases, Factual Image Interpretation, Computer-Assisted Brain Neuroimaging
View on PubMed DOI

Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy.

Circulation. Arrhythmia and electrophysiology Mar 18, 2020
BACKGROUND: Transition zones between healthy myocardium and scar form a spatially complex substrate that may give rise to reentrant ventricular arrhythmias (VAs). We sought to assess the utility of a novel machine learning approach for quantifying 3-...
Retrospective Studies Female Risk Factors Aged Humans Machine Learning Prognosis Risk Assessment Diagnosis, Computer-Assisted Imaging, Three-Dimensional United States Male Ventricular Function, Left Stroke Volume Middle Aged Myocardial Ischemia Cardiomyopathies Fourier Analysis Gadolinium DTPA Death, Sudden, Cardiac Predictive Value of Tests Registries Arrhythmias, Cardiac Heart Rate Contrast Media Magnetic Resonance Imaging Action Potentials
View on PubMed DOI

A Review on Applications of Computational Methods in Drug Screening and Design.

Molecules (Basel, Switzerland) Mar 18, 2020
Drug development is one of the most significant processes in the pharmaceutical industry. Various computational methods have dramatically reduced the time and cost of drug discovery. In this review, we firstly discussed roles of multiscale biomolecul...
Molecular Docking Simulation Machine Learning Drug Design Drug Discovery Molecular Dynamics Simulation
View on PubMed DOI

AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data.

Journal of medical systems Mar 18, 2020
The novel coronavirus (COVID-19) outbreak, which was identified in late 2019, requires special attention because of its future epidemics and possible global threats. Beside clinical procedures and treatments, since Artificial Intelligence (AI) promis...
Disease Outbreaks Decision Making Coronavirus Infections Pneumonia, Viral COVID-19 Algorithms Forecasting Delivery of Health Care Humans Artificial Intelligence Machine Learning
View on PubMed DOI

Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning.

Scientific reports Mar 18, 2020
Diagnosing autism spectrum disorders (ASD) is a complicated, time-consuming process which is particularly challenging in older individuals. One of the most widely used behavioral diagnostic tools is the Autism Diagnostic Observation Schedule (ADOS). ...
Humans Machine Learning Algorithms Psychometrics Adolescent Support Vector Machine Age Factors Diagnosis, Differential Symptom Assessment Young Adult Psychological Tests Autism Spectrum Disorder Adult Female Sensitivity and Specificity Reproducibility of Results Male
View on PubMed DOI

SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.

Scientific reports Mar 18, 2020
Drug-disease association is an important piece of information which participates in all stages of drug repositioning. Although the number of drug-disease associations identified by high-throughput technologies is increasing, the experimental methods ...
ROC Curve Lung Neoplasms Computational Biology Support Vector Machine Obesity Anti-Obesity Agents Area Under Curve Databases, Factual Computer Simulation Stomach Neoplasms Antineoplastic Agents Neural Networks, Computer Machine Learning Algorithms Humans
View on PubMed DOI

The AI Revolution and How to Prepare for It.

Translational vision science & technology Mar 18, 2020
Data Management Humans United States Artificial Intelligence Ophthalmology Machine Learning Population Health
View on PubMed DOI

Improving the binding affinity estimations of protein-ligand complexes using machine-learning facilitated force field method.

Journal of computer-aided molecular design Mar 17, 2020
Scoring functions are routinely deployed in structure-based drug design to quantify the potential for protein-ligand (PL) complex formation. Here, we present a new scoring function Bappl+ that is designed to predict the binding affinities of non-meta...
Proteins Databases, Protein Quantum Theory Ligands Metals Protein Binding Computational Biology Machine Learning Drug Design
View on PubMed DOI

Artificial intelligence and machine learning in respiratory medicine.

Expert review of respiratory medicine Mar 17, 2020
: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in particular in respiratory medicine is an increasingly relevant topic.: We aimed to identify and describe the studies published on the use of AI and ML in t...
Pulmonary Disease, Chronic Obstructive Pulmonary Fibrosis Respiratory Tract Diseases Pulmonary Medicine Humans Artificial Intelligence Machine Learning Tomography, X-Ray Computed
View on PubMed DOI

Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP.

Translational vision science & technology Mar 17, 2020
PURPOSE: We applied a deep convolutional neural network model for automatic identification of ellipsoid zone (EZ) in spectral domain optical coherence tomography B-scans of retinitis pigmentosa (RP).
Humans Retina Machine Learning Retinal Pigment Epithelium Tomography, Optical Coherence Retinitis Pigmentosa
View on PubMed DOI
Popular Topics
Recent Journals