AIMC Topic: Bayes Theorem

Clear Filters Showing 1081 to 1090 of 1826 articles

Assessing hERG1 Blockade from Bayesian Machine-Learning-Optimized Site Identification by Ligand Competitive Saturation Simulations.

Journal of chemical information and modeling Nov 16, 2020
Drug-induced cardiotoxicity is a potentially lethal and yet one of the most common side effects with the drugs in clinical use. Most of the drug-induced cardiotoxicity is associated with an off-target pharmacological blockade of K currents carried ou...
Bayes Theorem Ligands Ether-A-Go-Go Potassium Channels Machine Learning Molecular Docking Simulation Models, Molecular Humans
View on PubMed DOI

Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data.

Sensors (Basel, Switzerland) Nov 16, 2020
To further extend the applicability of wearable sensors in various domains such as mobile health systems and the automotive industry, new methods for accurately extracting subtle physiological information from these wearable sensors are required. How...
Heart Rate Humans Affect Deep Learning Pattern Recognition, Automated Monitoring, Physiologic Emotions Bayes Theorem
View on PubMed DOI

A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects.

Sensors (Basel, Switzerland) Nov 13, 2020
This paper evaluates data stream classifiers from the perspective of connected devices, focusing on the use case of Human Activity Recognition. We measure both the classification performance and resource consumption (runtime, memory, and power) of fi...
Humans Neural Networks, Computer Algorithms Bayes Theorem Human Activities
View on PubMed DOI

Machine Learning Methods in Drug Discovery.

Molecules (Basel, Switzerland) Nov 12, 2020
The advancements of information technology and related processing techniques have created a fertile base for progress in many scientific fields and industries. In the fields of drug discovery and development, machine learning techniques have been use...
Humans Monte Carlo Method Drug Discovery Deep Learning Algorithms Support Vector Machine Machine Learning Computational Biology Databases, Factual Bayes Theorem Software Reproducibility of Results Internet
View on PubMed DOI

Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking.

PloS one Nov 12, 2020
BACKGROUND: The outbreak of the novel coronavirus disease COVID-19, caused by the SARS-CoV-2 virus has spread rapidly around the globe during the past 3 months. As the virus infected cases and mortality rate of this disease is increasing exponentiall...
SARS-CoV-2 Betacoronavirus Pandemics Drug Repositioning Humans Molecular Docking Simulation Pneumonia, Viral Bayes Theorem Coronavirus Infections Machine Learning COVID-19 Algorithms
View on PubMed DOI

Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm.

Scientific reports Nov 11, 2020
Pre-treatment determination of renal cell carcinoma aggressiveness may help guide clinical decision-making. We aimed to differentiate low-grade (Fuhrman I-II) from high-grade (Fuhrman III-IV) renal cell carcinoma using radiomics features extracted fr...
Humans Aged Aged, 80 and over Adult Machine Learning Retrospective Studies Female Bayes Theorem Neoplasm Grading ROC Curve Kidney Neoplasms Magnetic Resonance Imaging Carcinoma, Renal Cell Diagnosis, Differential Male Middle Aged
View on PubMed DOI

Closing the Digital Health Evidence Gap: Development of a Predictive Score to Maximize Patient Outcomes.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Nov 10, 2020
Clinical studies of telemedicine (TM) programs for chronic illness have demonstrated mixed results across settings and populations. With recent uptake in use of digital health modalities, more precise patient classification may improve outcomes, eff...
Cohort Studies United States Bayes Theorem Humans Retrospective Studies Medicare Machine Learning Aged
View on PubMed DOI

Classification of Aggressive Movements Using Smartwatches.

Sensors (Basel, Switzerland) Nov 9, 2020
Recognizing aggressive movements is a challenging task in human activity recognition. Wearable smartwatch technology with machine learning may be a viable approach for human aggressive behavior classification. This research identified a viable classi...
Movement Aggression Support Vector Machine Bayes Theorem Humans Neural Networks, Computer Wearable Electronic Devices
View on PubMed DOI

LDA filter: A Latent Dirichlet Allocation preprocess method for Weka.

PloS one Nov 9, 2020
This work presents an alternative method to represent documents based on LDA (Latent Dirichlet Allocation) and how it affects to classification algorithms, in comparison to common text representation. LDA assumes that each document deals with a set o...
Humans Algorithms Support Vector Machine Cluster Analysis Bayes Theorem Information Storage and Retrieval
View on PubMed DOI

Comprehensive Study on Molecular Supervised Learning with Graph Neural Networks.

Journal of chemical information and modeling Nov 8, 2020
This work considers strategies to develop accurate and reliable graph neural networks (GNNs) for molecular property predictions. Prediction performance of GNNs is highly sensitive to the change in various parameters due to the inherent challenges in ...
Algorithms Neural Networks, Computer Bayes Theorem Machine Learning Supervised Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals