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Jennifer L. Caswell-Jin

2 papers hereh-index 201.9k citations64 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedA Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data

58 citations · 58 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

Can Artificial Intelligence Generate Quality Research Topics Reflecting Patient Concerns?

Jiyeong Kim, Michael L. Chen, Shawheen J. Rezaei +8

Patient-centered research is increasingly important in narrowing the gap between research and patient care, yet incorporating patient perspectives into health research has been inc…

q-bio.QM2019★ 58 cited

A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data

Albee Y. Ling, Allison W. Kurian, Jennifer L. Caswell-Jin +3

Objectives: Most cancer data sources lack information on metastatic recurrence. Electronic medical records (EMRs) and population-based cancer registries contain complementary infor…

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