Research map / Probabilistic and scientific modeling / Dynamical systems
Attentive State-Space Modeling of Disease Progression
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use attentive non-Markovian state-space model instead of HMM | HMM · UK CF registry, diabetes risk | AUC-ROC: 0.625 ± 0.02 -> 0.709 ± 0.02 | Helped |
| use attentive non-Markovian state-space model instead of HMM | HMM · UK CF registry, ABPA risk | AUC-ROC: 0.686 ± 0.03 -> 0.787 ± 0.01 | Helped |
| use attentive non-Markovian state-space model instead of LSTM | LSTM · UK CF registry, depression risk | AUC-ROC: 0.609 ± 0.12 -> 0.751 ± 0.03 | Helped |
| use attentive non-Markovian state-space model instead of RETAIN | RETAIN · UK CF registry, pancreatitis risk | AUC-ROC: 0.600 ± 0.08 -> 0.696 ± 0.04 | Helped |
| use attentive non-Markovian state-space model instead of RETAIN | RETAIN · UK CF registry, P. Aeruginosa risk | AUC-ROC: 0.676 ± 0.02 -> 0.680 ± 0.01 | No clear effect |
| use attentive non-Markovian state-space model instead of LSTM | LSTM · UK CF registry, diabetes risk | AUC-ROC: 0.675 ± 0.03 -> 0.709 ± 0.02 | Helped |
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