Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Health Medicine & Life Sciences
Unified Medical Language System Medicine & Life Sciences
Crime Engineering & Materials Science
Semantics Medicine & Life Sciences
Search engines Engineering & Materials Science
offense Social Sciences
Processing Engineering & Materials Science
Classifiers Engineering & Materials Science

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Projects 2005 2019

Health
Learning systems
Semantics
Availability
Recovery
Health
Costs
Linguistics
Computational linguistics
Information science

Visualization of Consumer Health Information

Leroy, G. A.

National Institutes of Health

9/30/059/29/08

Project: Research projectExploratory/Developmental Grants

Visualization
Health
Websites
Health care
Costs

Research Output 2001 2017

  • 879 Citations
  • 15 h-Index
  • 43 Article
  • 27 Conference contribution
  • 5 Chapter
  • 1 Review article

Automated lexicon and feature construction using word embedding and clustering for classification of asd diagnoses using EHR

Leroy, G., Gu, Y., Pettygrove, S. & Kurzius-Spencer, M. 2017 Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings. Springer Verlag, Vol. 10260 LNCS, p. 34-37 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10260 LNCS)

Research output: ResearchConference contribution

Clustering
Term
Neural networks
Neural Networks
BP Neural Network

Feasibility and Utility of Lexical Analysis for Occupational Health Text

Harber, P. & Leroy, G. Jun 1 2017 In : Journal of Occupational and Environmental Medicine. 59, 6, p. 578-587 10 p.

Research output: Research - peer-reviewArticle

Occupational Health
Unified Medical Language System
Health
Natural Language Processing
Vocabulary

Measuring text difficulty using parse-tree frequency

Kauchak, D., Leroy, G. & Hogue, A. Sep 1 2017 In : Journal of the Association for Information Science and Technology. 68, 9, p. 2088-2100 13 p.

Research output: Research - peer-reviewArticle

Grammar
grammar
Bins
Familiarity
Readability

NegAIT: A new parser for medical text simplification using morphological, sentential and double negation

Mukherjee, P., Leroy, G., Kauchak, D., Rajanarayanan, S., Romero Diaz, D. Y., Yuan, N. P., Pritchard, T. G. & Colina, S. May 1 2017 In : Journal of Biomedical Informatics. 69, p. 55-62 8 p.

Research output: Research - peer-reviewArticle

Classifiers
PubMed
Clinical Trials
Blogs
Decision trees
3 Citations

Social media use for occupational lung disease

Harber, P. & Leroy, G. 2017 In : Current Opinion in Allergy and Clinical Immunology. 17, 2, p. 72-77 6 p.

Research output: Research - peer-reviewReview article

Social Media
Occupational Diseases
Lung Diseases
Research
Information Dissemination