AIMC Topic: Machine Learning

Clear Filters Showing 23051 to 23060 of 34417 articles

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA-PAINT with Machine- Learning-Based Classification.

Small (Weinheim an der Bergstrasse, Germany) Sep 3, 2019
Exosomes are endosome-derived vesicles enriched in body fluids such as urine, blood, and saliva. So far, they have been recognized as potential biomarkers for cancer diagnostics. However, the present single-variate analysis of exosomes has greatly li...
Nanotechnology Neoplasms Cell Line, Tumor Nanoparticles DNA Silicon Dioxide Exosomes Humans Machine Learning Biomarkers, Tumor
View on PubMed DOI

Machine learning applications in epilepsy.

Epilepsia Sep 3, 2019
Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation of data rather than through explicit instructions. Alongside widespread use in image recognition, lan...
Machine Learning Brain Deep Learning Humans Signal Processing, Computer-Assisted Neurons Electroencephalography Epilepsy Seizures
View on PubMed DOI

Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data.

PLoS computational biology Sep 3, 2019
Prediction of antibiotic resistance phenotypes from whole genome sequencing data by machine learning methods has been proposed as a promising platform for the development of sequence-based diagnostics. However, there has been no systematic evaluation...
Whole Genome Sequencing Genome, Bacterial Reproducibility of Results Microbial Sensitivity Tests Bacteria Machine Learning Computational Biology Algorithms Databases, Genetic Anti-Bacterial Agents Bacterial Infections Humans
View on PubMed DOI

Predicting Hospital Readmission: A Joint Ensemble-Learning Model.

IEEE journal of biomedical and health informatics Sep 2, 2019
Hospital readmission is among the most critical issues in the healthcare system due to its high prevalence and cost. The improvement effort necessitates reliable prediction models which can identify high-risk patients effectively and enable healthcar...
Humans Machine Learning Algorithms Hospitalization Patient Readmission Models, Educational
View on PubMed DOI

Self-organizing neural networks for universal learning and multimodal memory encoding.

Neural networks : the official journal of the International Neural Network Society Sep 2, 2019
Learning and memory are two intertwined cognitive functions of the human brain. This paper shows how a family of biologically-inspired self-organizing neural networks, known as fusion Adaptive Resonance Theory (fusion ART), may provide a viable appro...
Machine Learning Mathematical Concepts
View on PubMed DOI

Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification.

Neural networks : the official journal of the International Neural Network Society Sep 2, 2019
Document classification aims to assign one or more classes to a document for ease of management by understanding the content of a document. Hierarchical attention network (HAN) has been showed effective to classify documents that are ambiguous. HAN p...
Software Algorithms Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

A Machine Learning Classifier for Assigning Individual Patients With Systemic Sclerosis to Intrinsic Molecular Subsets.

Arthritis & rheumatology (Hoboken, N.J.) Sep 2, 2019
OBJECTIVE: High-throughput gene expression profiling of tissue samples from patients with systemic sclerosis (SSc) has identified 4 "intrinsic" gene expression subsets: inflammatory, fibroproliferative, normal-like, and limited. Prior methods require...
Male Middle Aged Gene Expression Profiling Aged Young Adult Humans Adult Machine Learning High-Throughput Nucleotide Sequencing Transcriptome Algorithms Datasets as Topic Gene Expression Female Scleroderma, Systemic Supervised Machine Learning
View on PubMed DOI

Applications of machine learning techniques to predict filariasis using socio-economic factors.

Epidemiology and infection Sep 2, 2019
Filariasis is one of the major public health concerns in India. Approximately 600 million people spread across 250 districts of India are at risk of filariasis. To predict this disease, a pilot scale study was carried out in 30 villages of Karimnagar...
Humans Epidemiologic Methods Filariasis Machine Learning India ROC Curve Socioeconomic Factors Models, Statistical
View on PubMed DOI

A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate.

Preventive veterinary medicine Aug 31, 2019
The effect of body condition score (BCS) on reproductive outcomes is complex, dynamic and non-linear with interaction and confounding. The flexibility inherent in machine learning algorithms makes them attractive for analysing complex data. This stud...
ROC Curve New Zealand Female Logistic Models Reproduction Machine Learning Models, Biological Dairying Decision Trees Algorithms Animals Lactation Breeding Body Constitution Cattle
View on PubMed DOI

Machine Learning Models for Accurate Prediction of Kinase Inhibitors with Different Binding Modes.

Journal of medicinal chemistry Aug 30, 2019
Noncovalent inhibitors of protein kinases have different modes of action. They bind to the active or inactive form of kinases, compete with ATP, stabilize inactive kinase conformations, or act through allosteric sites. Accordingly, kinase inhibitors ...
Machine Learning Databases, Chemical Protein Binding Crystallography, X-Ray Protein Kinase Inhibitors Protein Kinases Datasets as Topic
View on PubMed DOI
Popular Topics
Recent Journals