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Medical Time Series Classification on APAVA

Medical Time Series Classification on APAVA

86.86AccuracyTeCh

Updated 8mo ago

Evaluation results

Method	Links
TeCh2026.02		86.86	86.3
MedGNN2026.02		82.6	80.25

State-of-the-art paper

TeCh

Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series

Dataset

APAVA

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Related benchmarks

Human Activity Recognition on FLAAP 10-Classes (test)Human Activity Recognition on UCI-HAR 6-Classes (test)Medical Time Series Classification on ADFTD 3-Classes (test)Medical Time Series Classification on APAVA 2-Classes (test)Medical Time Series Classification on TDBrain 2-Classes (test)

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