Anti-NMDAR Encephalitis Synthetic Dataset v1.0

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抗NMDA受体脑炎研究级合成数据集 本合成数据集针对抗NMDA受体脑炎——一种常被误诊为原发性精神疾病的罕见自身免疫性疾病——进行建模，涵盖确诊、疑似及误诊病例的完整病程轨迹。 核心特性： 1. 多阶段病例分类：确诊、疑似、误诊 2. 生物标志物演变轨迹：包含脑脊液（Cerebrospinal Fluid, CSF）抗体滴度、磁共振成像（Magnetic Resonance Imaging, MRI）检测结果 3. 从前驱期至康复期的完整症状病程演变 4. 治疗响应模式：涵盖免疫治疗与肿瘤切除术 5. 面向机器学习（Machine Learning, ML）早期检测研究的诊断延迟建模 本数据集由MentalData.io为罕见神经精神疾病研究开发，未使用任何真实患者数据。 许可协议：CC BY-NC 4.0