AIMC Topic: Search Engine
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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 ...
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...
Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.
Journal of biomedical informatics
Jan 25, 2017
OBJECTIVE: The utility of biomedical information retrieval environments can be severely limited when users lack expertise in constructing effective search queries. To address this issue, we developed a computer-based query recommendation algorithm th...
A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process.
Computational intelligence and neuroscience
Oct 11, 2016
The two-coupled distillation column process is a physically complicated system in many aspects. Specifically, the nested interrelationship between system inputs and outputs constitutes one of the significant challenges in system control design. Mostl...
Webulous and the Webulous Google Add-On--a web service and application for ontology building from templates.
Journal of biomedical semantics
Apr 1, 2016
BACKGROUND: Authoring bio-ontologies is a task that has traditionally been undertaken by skilled experts trained in understanding complex languages such as the Web Ontology Language (OWL), in tools designed for such experts. As requests for new terms...
Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology.
Journal of biomedical informatics
Feb 10, 2016
Biomedical ontologies contain errors. Crowdsourcing, defined as taking a job traditionally performed by a designated agent and outsourcing it to an undefined large group of people, provides scalable access to humans. Therefore, the crowd has the pote...
Natural Language Search Interfaces: Health Data Needs Single-Field Variable Search.
Journal of medical Internet research
Jan 14, 2016
BACKGROUND: Data discovery, particularly the discovery of key variables and their inter-relationships, is key to secondary data analysis, and in-turn, the evolving field of data science. Interface designers have presumed that their users are domain e...
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.
PLoS computational biology
Oct 29, 2015
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...
Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm.
Computational intelligence and neuroscience
Oct 25, 2015
For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, a feed-forward neural network (FNN) based soft-sensor model optimized by the hybrid algorithm combining particle swarm optimization (PSO...
Automated Detection of HONcode Website Conformity Compared to Manual Detection: An Evaluation.
Journal of medical Internet research
Jun 2, 2015
BACKGROUND: To earn HONcode certification, a website must conform to the 8 principles of the HONcode of Conduct In the current manual process of certification, a HONcode expert assesses the candidate website using precise guidelines for each principl...
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