Connection

Paul Heider to Machine Learning

This is a "connection" page, showing publications Paul Heider has written about Machine Learning.
Connection Strength

0.396
  1. Comparing Multiple Models for Section Header Classification with Feature Evaluation. Stud Health Technol Inform. 2022 Jun 06; 290:1064-1065.
    View in: PubMed
    Score: 0.180
  2. Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA Annu Symp Proc. 2018; 2018:663-672.
    View in: PubMed
    Score: 0.142
  3. Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. Stud Health Technol Inform. 2019 Aug 21; 264:283-287.
    View in: PubMed
    Score: 0.037
  4. Automatic trial eligibility surveillance based on unstructured clinical data. Int J Med Inform. 2019 09; 129:13-19.
    View in: PubMed
    Score: 0.037
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.