AIMC Topic: Search Engine

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Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches.

PloS one Dec 7, 2020
Persons who inject drugs (PWID) are at increased risk for overdose death (ODD), infections with HIV, hepatitis B (HBV) and hepatitis C virus (HCV), and noninfectious health conditions. Spatiotemporal identification of PWID communities is essential fo...
Substance Abuse, Intravenous Search Engine Machine Learning Risk Factors Public Health United States Internet Drug Overdose Humans
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Between Web search engines and artificial intelligence: what side is shown in laboratory tests?

Diagnosis (Berlin, Germany) Apr 25, 2020
BACKGROUND: The number of websites providing laboratory test information is increasing fast, although the accuracy of reported resources is sometimes questionable. The aim of this study was to assess the quality of online retrievable information by G...
Artificial Intelligence Humans Male 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 ...
Pilot Projects Incidence Coronavirus Infections Male Disease Outbreaks Deep Learning Betacoronavirus Humans Pneumonia, Viral Pandemics Coronavirus COVID-19 Iran Female Data Mining SARS-CoV-2 Search Engine Risk Factors
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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 Semantics Unified Medical Language System Consumer Health Information Natural Language Processing Expert Systems Information Storage and Retrieval Search Engine
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Google maps for tissues: Multiscale imaging of biological systems and disease.

Acta physiologica (Oxford, England) Oct 16, 2019
Disease Search Engine Diagnostic Imaging Models, Biological Humans Artificial Intelligence
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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...
Humans Neural Networks, Computer Algorithms Search Engine Databases, Factual Image Processing, Computer-Assisted Probability
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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...
Computer Simulation Search Engine Biological Evolution Computer Heuristics Machine Learning Algorithms
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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 ...
Information Storage and Retrieval Clinical Trials as Topic Humans Search Engine Machine Learning Meta-Analysis as Topic Sensitivity and Specificity Systematic Reviews as Topic PubMed Data Mining
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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 ...
Biological Ontologies Humans Search Engine Autistic Disorder Research Design Molecular Sequence Annotation
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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...
Registries Humans Review Literature as Topic Databases, Bibliographic Information Storage and Retrieval Machine Learning ROC Curve Algorithms Subject Headings Support Vector Machine Reproducibility of Results Evidence-Based Medicine Randomized Controlled Trials as Topic Sensitivity and Specificity Search Engine
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