The Multi-label classification

The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track 1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is a particularly demanding task to which natural language processing and deep learning can make a valuable contribution. Our goal is to evaluate several deep learning architectures to deal with this task.

8p visteverogers 24-06-2023 8 2   Download

The results, it can be concluded that designing a resampling method based on class imbalance together with class alignment will improve multilabel classification even better than just the random resampling method.

34p spiritedaway36 28-11-2021 8 1   Download

This study proposed the multilabel classification technique with the Label Combination (LC) approach in order to tackle this issue. The result was compared with several state-of-the-art traditional multi-class classification approaches. The multi-label classification result significantly outperformed the traditional multi-class classification methods as well as minimized the model build time.

23p meriday 20-04-2019 21 1   Download