Event-Based Models
Cross-source consensus on Event-Based Models from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Risks & contraindications
Comparisons
Other
Highlighted claims
- Traditional EBMs model a disease event as a biomarker switching from a benign to a pathological distribution. — TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data
- Most EBMs usually provide only ordinal event order rather than temporal spacing between events. — TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data
- EBMs can rely on biologically unrealistic assumptions such as irreversibility and conditional independence among biomarkers. — TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data
- Baseline EBM algorithms output only ordinal stages, affecting how staging evaluations were performed. — TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data