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institution

Morgridge Institute for Research

United States

13 papers here83 citations across 13
fields
  • cs.DC4
  • cs.LG2
  • hep-ex2
  • physics.optics2
  • cs.IR1
  • physics.acc-ph1
  • physics.ao-ph1
ROR 05cb4rb43OpenAlex

affiliations via OpenAlex

output
20192026
most citedA Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications

31 citations

researchers with a paper here
  • B. Bockelman7 · h 29
  • D. Weitzel6 · h 8
  • C. Lundstedt2 · h 34
  • D. Swanson2 · h 18
  • Garhan Attebury2 · h 7
  • I. Vukotic2 · h 85
  • John Thiltges2 · h 2
  • K. Bloom2 · h 93
  • O. Shadura2 · h 33
  • Sam Albin2 · h 1
  • W. Xiao2 · h 5
  • Zhe Zhang2 · h 7
collaborating institutions
  • University of Nebraska–LincolnUS6 papers
  • University of Wisconsin–MadisonUS4 papers
  • Fermi National Accelerator LaboratoryUS2 papers
  • University of Notre DameUS2 papers
  • Centrale MéditerranéeFR1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Colorado State UniversityUS1 paper
  • European Organization for Nuclear ResearchCH1 paper
  • Florida State UniversityUS1 paper
  • Institut FresnelFR1 paper
  • Los Alamos National LaboratoryUS1 paper
  • Notre Dame of Dadiangas UniversityPH1 paper
Showing cs.IRShow all

1 paper · 1 filter

cs.IR2019★ 31 cited

A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications

Finn Kuusisto, John Steill, Zhaobin Kuang +3

We present a simple text mining method that is easy to implement, requires minimal data collection and preparation, and is easy to use for proposing ranked associations between a l…

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