Adding geolocation to LLM embeddings is claimed to improve Alzheimer's risk prediction, but the target is a CDC aggregate value and the near-zero error suggests label memorization.
In Proceedings of International Conference on Data Science and Applications: ICDSA 2022 , volume 1, 369–382
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework
Adding geolocation to LLM embeddings is claimed to improve Alzheimer's risk prediction, but the target is a CDC aggregate value and the near-zero error suggests label memorization.