Publications by authors named "Sarah Soppe"

Purpose: Studies of healthcare encounters leading to cancer diagnosis have increased over recent years. While some studies examine healthcare utilization before the cancer registry date of diagnosis, relevant pre-diagnosis interactions are not always immediately prior to this date due to date abstraction guidelines. We evaluated agreement of a registry date with a claims-based index and examined Emergency Department (ED) involvement in cancer diagnosis as an example of possible pre-diagnostic healthcare misclassification that could arise from improper date choice.

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Background: Investigators often use claims data to estimate the diagnosis timing of chronic conditions. However, misclassification of chronic conditions is common due to variability in healthcare utilization and in claims history across patients.

Objective: We aimed to quantify the effect of various Medicare fee-for-service continuous enrollment period and lookback period (LBP) on misclassification of COPD and sample size.

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Article Synopsis
  • - The study focuses on developing a machine learning-based tool that can reliably subtype HPV-associated Head and Neck Squamous Cell Carcinoma (HNSCC) into well-defined categories (IMU and KRT), which have different cancer mechanisms and treatment needs.
  • - Researchers analyzed 229 RNA-seq samples, combining new data from the University of Michigan with existing public datasets, and applied an ensemble machine learning method to ensure accurate classification of tumor subtypes.
  • - The classifier demonstrated exceptional accuracy, achieving 100% correctness in a test set and validating its effectiveness across different patient cohorts, while also identifying significant clinical and molecular features linked to each subtype.
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