Literature DB >> 18999112

A best-fit model for concept vectors in biomedical research grants.

Calvin Johnson1, William Lau, Archna Bhandari, Timothy Hays.   

Abstract

The Research, Condition, and Disease Categorization (RCDC) project was created to standardize budget reporting by research topic. Text mining techniques have been implemented to classify NIH grant applications into proper research and disease categories. A best-fit model is shown to achieve classification performance rivaling that of concept vectors produced by human experts.

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Year:  2008        PMID: 18999112

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  1 in total

1.  Using the NIH Research, Condition and Disease Categorization Database for research advocacy: Schizophrenia research at NIMH as an example.

Authors:  E Fuller Torrey; Michael B Knable; A John Rush; Wendy W Simmons; John Snook; D J Jaffe
Journal:  PLoS One       Date:  2020-11-19       Impact factor: 3.240

  1 in total

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