Eunice Yang, BS (she/her/hers)

Medical Student
Department of Neurological Surgery, Columbia University
New York, NY, US

Eunice Yang is a second-year medical student at the Columbia University Vagelos College of Physicians and Surgeons. She graduated from Stanford University in 2022 with a B.S. in Computer Science, concentrating in Artificial Intelligence, and a B.S. in Biology. She currently conducts research in the Department of Neurosurgery under the mentorship of Dr. Andrew Chan and Dr. Dean Chou. Her research uses machine learning to assess lumbar spondylolisthesis and cervical spondylotic myelopathy outcomes from the Quality Outcomes Database.

Disclosure(s): No financial relationships to disclose

Presentation(s):

• What Factors Predict the Best Outcomes for Elderly Patients Operated for Grade 1 Degenerative Lumbar Spondylolisthesis? A Machine Learning Analysis from the Quality Outcomes Database

  Saturday, February 24, 2024
  7:16 AM – 7:18 AM PST

• Which Factors Drive Surgeons to Fuse? Decision Tree-based Prediction of Approach Selection in QOD Lumbar Spondylolisthesis Patients

  Saturday, February 24, 2024
  8:56 AM – 8:58 AM PST

• Is Upper Extremity or Lower Extremity Function More Important for Patient Satisfaction? An Analysis of 24-Month Outcomes from the QOD Cervical Myelopathy Cohort

  Saturday, February 24, 2024
  8:08 AM – 8:10 AM PST

• Which Machine Learning Algorithms Best Predict Minimum Clinically Important Differences in QOD Lumbar Spondylolisthesis Patients?

  Saturday, February 24, 2024
  8:20 AM – 8:22 AM PST

• Do Lifetime Quality-Adjusted Life Years Gained Differ Following Three-Level ACDF and Laminectomy with Fusion? A QOD Cervical Spondylotic Myelopathy Cohort Analysis

  Saturday, February 24, 2024
  8:58 AM – 9:00 AM PST