- PAR ID:
- 10318648
- Date Published:
- Journal Name:
- Proceedings of the AAAI Conference on Artificial Intelligence
- Volume:
- 36
- Issue:
- 4
- ISSN:
- 2159-5399
- Page Range / eLocation ID:
- 4567 to 4574
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Conclusion Using data from EHR as input, SPOKEsigs describe patients at both the clinical and biological levels. We provide a clinical use case for detecting MS up to 5 years prior to their documented diagnosis in the clinic and illustrate the biological features that distinguish the prodromal MS state.