Multimodal Health Data Evaluation Metrics Specialist Wanted

2 weeks ago


Copenhagen, Copenhagen, Denmark ELLIS Full time

A PhD or 2-year postdoc position is available at the IT University of Copenhagen, focusing on evaluating multimodal health data.

Context

Machine learning competitions are often touted as drivers of algorithm development in healthcare but face limitations in real-world applications.

Competition may deter underrepresented groups in computer science from entering or staying in the field. Furthermore, an insufficient single performance metric can lead to too similar algorithms that do not bring added value despite their high training costs and carbon footprint.

Research Goals
  1. Design competitions with multiple metrics to capture algorithm robustness
  2. Evaluate and increase diversity of evaluation data using techniques like generative models and transfer learning
  3. Develop methods to evaluate similarity of algorithms
  4. Combine and reuse (parts of) algorithms to increase robustness without disproportionate carbon footprint

Focusing on two multimodal disease prediction data, chest x-rays with radiology reports and retinal images with tabular clinical measurements.



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