Bethany Percha

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Bethany Percha trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Aaron M. Cohen
  2. Hao Chen
  3. William R. Hersh
  4. Burt M. Sharp
  5. Daniel Klein

Who trusts Bethany Percha overall

  1. Yuan Luo
  2. Hui Huang
  3. Ozlem Uzuner
  4. Peter Szolovits
  5. Ping Zhang

Papers from Bethany Percha's perspective

Ordered by how strongly the researchers Bethany Percha trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Accurate Unlexicalized Parsing
  2. Clinically applicable deep learning for diagnosis and referral in retinal disease
  3. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
  4. Using text to build semantic networks for pharmacogenomics
  5. A survey of current work in biomedical text mining
  6. Content-rich biological network constructed by mining PubMed abstracts (BMC Bioinformatics)
  7. The diagnosis of mental disorders: the problem of reification. (Annual Review of Clinical Psychology)
  8. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
  9. Detecting hip fractures with radiologist-level performance using deep neural networks
  10. pROC: an open-source package for R and S+ to analyze and compare ROC curves

Their papers