A5078696088- Educational Games and Gamification
- Scientific Computing and Data Management
- Cloud Computing and Resource Management
- Biomedical Text Mining and Ontologies
- Systemic Lupus Erythematosus Research
- Online Learning and Analytics
- Statistics Education and Methodologies
- Hepatitis C virus research
- Machine Learning and Data Classification
College of Charleston
2014-2017
Identifying patients with certain clinical criteria based on manual chart review of doctors' notes is a daunting task given the massive amounts text in electronic health records (EHR). This can be automated using classifiers Natural Language Processing (NLP) techniques along pattern recognition machine learning (ML) algorithms. The aim this research to evaluate performance traditional for identifying Systemic Lupus Erythematosus (SLE) comparison newer Bayesian word vector method. We obtained...
Learn2Mine is a cloud-based environment developed to support the teaching of data science. This paper discusses architecture Learn2Mine, research that guided its development, and pilot implementation formative assessment use in was pilot-tested Fall 2013 an introductory science source. At end term, survey students concerning their experiences with conducted. Quantitative analysis showed student opinion about usefulness tool for learning course content positive. Through open-ended comments,...
We introduce Learn2Mine, an education and analysis platform that integrates state-of-the-art data mining tools with effective feedback training mechanisms in order to lower the barrier for domain experts computer scientists learn science. Data science is combination of statistical techniques extract meaningful information from domain-specific datasets. Learn2Mine a where students practice commonly used by scientists. The novel environment teaching without requiring prerequisite knowledge,...