/instance_selection

instance selection algorithms in active learning - a clinical prediction setting

Primary LanguagePython

Wise Instance Selection Algorithms Help Reduce Annotation Work in Multi-Task Multi-Class Urinary Tract Dilation (UTD) Prediction

This study investigates a few instance selection algorithms in active learning under a clinical prediction setting (UTD).

The poster will be presented at the AMIA Informatics Summit, March 2024 in Boston, MA.

The abstract is available here.

The code used in this study is stored in the rcs/ folder.