AIMC Topic: Search Engine

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Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.

JMIR public health and surveillance Apr 14, 2020
BACKGROUND: The recent global outbreak of coronavirus disease (COVID-19) is affecting many countries worldwide. Iran is one of the top 10 most affected countries. Search engines provide useful data from populations, and these data might be useful to ...
Deep Learning Pilot Projects Incidence Risk Factors Male Disease Outbreaks Search Engine Betacoronavirus Pneumonia, Viral Coronavirus Coronavirus Infections Iran Data Mining Humans Pandemics COVID-19 Female SARS-CoV-2
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Concept based auto-assignment of healthcare questions to domain experts in online Q&A communities.

International journal of medical informatics Mar 6, 2020
BACKGROUND: Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platf...
Algorithms Delivery of Health Care Surveys and Questionnaires Humans Search Engine Natural Language Processing Expert Systems Information Storage and Retrieval Semantics Unified Medical Language System Consumer Health Information
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Google maps for tissues: Multiscale imaging of biological systems and disease.

Acta physiologica (Oxford, England) Oct 16, 2019
Artificial Intelligence Diagnostic Imaging Models, Biological Humans Disease Search Engine
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Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks.

Computational intelligence and neuroscience Oct 9, 2019
In recent years, with the explosion of multimedia data from search engines, social media, and e-commerce platforms, there is an urgent need for fast retrieval methods for massive big data. Hashing is widely used in large-scale and high-dimensional da...
Probability Search Engine Algorithms Databases, Factual Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes.

Evolutionary computation May 23, 2019
Selection hyper-heuristics (HHs) are randomised search methodologies which choose and execute heuristics during the optimisation process from a set of low-level heuristics. A machine learning mechanism is generally used to decide which low-level heur...
Biological Evolution Computer Heuristics Machine Learning Algorithms Computer Simulation Search Engine
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Extending PubMed searches to ClinicalTrials.gov through a machine learning approach for systematic reviews.

Journal of clinical epidemiology Jul 5, 2018
OBJECTIVES: Despite their essential role in collecting and organizing published medical literature, indexed search engines are unable to cover all relevant knowledge. Hence, current literature recommends the inclusion of clinical trial registries in ...
Search Engine Systematic Reviews as Topic Meta-Analysis as Topic PubMed Data Mining Humans Information Storage and Retrieval Machine Learning Sensitivity and Specificity Clinical Trials as Topic
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SSDOnt: An Ontology for Representing Single-Subject Design Studies.

Methods of information in medicine Apr 5, 2018
BACKGROUND: Single-Subject Design is used in several areas such as education and biomedicine. However, no suited formal vocabulary exists for annotating the detailed configuration and the results of this type of research studies with the appropriate ...
Autistic Disorder Molecular Sequence Annotation Search Engine Humans Research Design Biological Ontologies
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Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide.

Research synthesis methods Feb 7, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this w...
Support Vector Machine Randomized Controlled Trials as Topic Registries Review Literature as Topic Information Storage and Retrieval Subject Headings Reproducibility of Results Humans Sensitivity and Specificity Evidence-Based Medicine Machine Learning ROC Curve Search Engine Algorithms Databases, Bibliographic
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A review of influenza detection and prediction through social networking sites.

Theoretical biology & medical modelling Feb 1, 2018
Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of diseases. Search engines and social networking sites can be used to track trends of different diseases ...
Humans Neural Networks, Computer Machine Learning Influenza, Human Disease Outbreaks Search Engine Predictive Value of Tests Social Networking Internet
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A document-centric approach for developing the tolAPC ontology.

Journal of biomedical semantics Nov 28, 2017
BACKGROUND: There are many challenges associated with ontology building, as the process often touches on many different subject areas; it needs knowledge of the problem domain, an understanding of the ontology formalism, software in use and, sometime...
Terminology as Topic Internet Humans Search Engine Software Semantics Semantic Web Animals Biological Ontologies
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