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mortality_prediction

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tnt306 commited on Sep 24, 2024

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@@ -241,7 +241,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
                 """
                 - Paper: [Variationally Regularized Graph-based Representation Learning for Electronic Health Records (Zhu et al, 2021)](https://arxiv.org/abs/1912.03761)
                 - Dataset: [MIMIC-III](https://physionet.org/content/mimiciii/1.4/)
-                  - 50,314 records, 10591 features
                   - 5,315 positive, 44,999 negative (11.8%)
                   - Split: 80% training, 10% validation, 10% testing
                 - Notable points:

                 """
                 - Paper: [Variationally Regularized Graph-based Representation Learning for Electronic Health Records (Zhu et al, 2021)](https://arxiv.org/abs/1912.03761)
                 - Dataset: [MIMIC-III](https://physionet.org/content/mimiciii/1.4/)
+                  - 50,314 records, 10,591 features
                   - 5,315 positive, 44,999 negative (11.8%)
                   - Split: 80% training, 10% validation, 10% testing
                 - Notable points: