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researcher

Joon-hyung Lee

2 papers hereh-index 17 citations3 works total

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

author position
  • last author2

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

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedUnsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 9 cited

Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort

Peyman Ghasemi, Joon Lee

The use of International Classification of Diseases (ICD) codes in healthcare presents a challenge in selecting relevant codes as features for machine learning models due to this s…

cs.LG2023

Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning

Adrienne Kline, Joon Lee

Model evaluation is a critical component in supervised machine learning classification analyses. Traditional metrics do not currently incorporate case difficulty. This renders the…

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