AIMC Topic: Disease

Clear Filters Showing 41 to 50 of 144 articles

The assessment of efficient representation of drug features using deep learning for drug repositioning.

BMC bioinformatics Nov 14, 2019
BACKGROUND: De novo drug discovery is a time-consuming and expensive process. Nowadays, drug repositioning is utilized as a common strategy to discover a new drug indication for existing drugs. This strategy is mostly used in cases with a limited num...
Humans Deep Learning Area Under Curve Pharmaceutical Preparations Disease Drug Repositioning Principal Component Analysis
View on PubMed DOI

Artificial Intelligence Meets Chinese Medicine.

Chinese journal of integrative medicine Oct 24, 2019
As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and treatment has received extensive attention. The standardization of Chinese medicine (CM) diagnosis has been always a bottleneck in the modernization an...
Disease Artificial Intelligence Humans Medicine, East Asian Traditional Deep Learning Syndrome
View on PubMed DOI

Google maps for tissues: Multiscale imaging of biological systems and disease.

Acta physiologica (Oxford, England) Oct 16, 2019
Artificial Intelligence Search Engine Diagnostic Imaging Models, Biological Humans Disease
View on PubMed DOI

MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sources.

Journal of translational medicine Aug 8, 2019
BACKGROUND: Emerging evidences show that microRNA (miRNA) plays an important role in many human complex diseases. However, considering the inherent time-consuming and expensive of traditional in vitro experiments, more and more attention has been pai...
Humans Machine Learning Support Vector Machine Databases, Genetic MicroRNAs Reproducibility of Results ROC Curve Disease
View on PubMed DOI

ROBOT: A Tool for Automating Ontology Workflows.

BMC bioinformatics Jul 29, 2019
BACKGROUND: Ontologies are invaluable in the life sciences, but building and maintaining ontologies often requires a challenging number of distinct tasks such as running automated reasoners and quality control checks, extracting dependencies and appl...
Programming Languages Biological Ontologies Disease Humans Software Workflow
View on PubMed DOI

Chemical-induced disease relation extraction via attention-based distant supervision.

BMC bioinformatics Jul 22, 2019
BACKGROUND: Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedic...
Humans Disease Neural Networks, Computer Toxicogenetics Algorithms Supervised Machine Learning Workflow Databases as Topic Databases, Factual
View on PubMed DOI

PhenPath: a tool for characterizing biological functions underlying different phenotypes.

BMC genomics Jul 16, 2019
BACKGROUND: Many diseases are associated with complex patterns of symptoms and phenotypic manifestations. Parsimonious explanations aim at reconciling the multiplicity of phenotypic traits with the perturbation of one or few biological functions. For...
Disease Databases, Genetic Biological Ontologies Phenotype Computational Biology Humans
View on PubMed DOI

Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.

International journal of medical informatics Jul 6, 2019
BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The real-time recording of death certificates, thanks to Electronic Death Registration System (EDRS), provides valuable data for reactive mortality surveil...
Male Epidemiological Monitoring Support Vector Machine Public Health Surveillance France Death Certificates Humans Cause of Death Adult Classification Supervised Machine Learning Disease
View on PubMed DOI

Development of Big Data Predictive Analytics Model for Disease Prediction using Machine learning Technique.

Journal of medical systems Jul 5, 2019
Now days, health prediction in modern life becomesvery much essential. Big data analysis plays a crucial role to predict future status of healthand offerspreeminenthealth outcome to people. Heart disease is a prevalent disease cause's death around th...
Disease Big Data Bayes Theorem Forecasting Female Male Middle Aged Aged Humans Machine Learning
View on PubMed DOI

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BMC bioinformatics Jun 13, 2019
BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdominal vein v...
Disease Electronic Health Records Diagnostic Techniques and Procedures ROC Curve Humans Bayes Theorem Area Under Curve Probability Algorithms Knowledge Bases
View on PubMed DOI
Popular Topics
Recent Journals