Anti-NMDAR Encephalitis Synthetic Dataset v1.0
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Research-Grade Synthetic Dataset for Anti-NMDA Receptor Encephalitis Synthetic dataset modeling anti-NMDAR encephalitis, a rare autoimmune disorder often misdiagnosed as primary psychiatric illness. Includes confirmed, probable, and misdiagnosed case trajectories. Key Features: Multi-stage case classification: confirmed, probable, misdiagnosed Biomarker evolution (CSF antibody titers, MRI findings) Symptom trajectories from prodrome to recovery Treatment response patterns (immunotherapy, tumor resection) Diagnostic delay modeling for ML-based early detection research Generated by MentalData.io for rare neuropsychiatric disorder research. No real patient data. License: CC BY-NC 4.0
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Zenodo创建时间：
2025-12-15
