Thyroid Disease
Thyroid is a dataset for detection of thyroid diseases, in which patients diagnosed with hypothyroid or subnormal are anomalies against normal patients. It contains 2800 training data instance and 972 test instances, with 29 or so attributes.
Source: Deep Reinforcement Learning for Unknown Anomaly Detection
Image Source: https://www.researchgate.net/figure/Features-of-Thyroid-dataset_tbl1_285711967
Variants: Thyroid
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Anomaly Detection | RCALAD | Spot The Odd One Out: … | 2023-04-16 |
| Anomaly Detection | DevNet | Deep Anomaly Detection with Deviation … | 2019-11-19 |
Recent papers with results on this dataset: