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

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

25 March 2023
Peyman Ghasemi
Joon-hyung Lee
ArXivPDFHTML

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

1 / 1 papers shown
Title
End-to-end learnable EEG channel selection for deep neural networks with
  Gumbel-softmax
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax
Thomas Strypsteen
Alexander Bertrand
33
50
0
11 Feb 2021
1