Migraine Acute Treatment Plan Correction and Self-Correction Trajectory Dataset
#error detection #treatment plan correction #trajectory-based reasoning #migraine treatment plan review #clinical decision support #medical agent self-correction
- 5000
- 0.4GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-11-04
AI Analysis & Value Prop
This dataset contains complete agent interaction trajectories for acute migraine treatment planning, including patient context, medication history, treatment risks, initial plans, and the identification of plan errors. Each trajectory shows how an agent responds to cues such as contraindications, drug interactions, or medication overuse by correcting its reasoning and replanning, with the recovery outcome and remaining risks also recorded. The data supports agent recovery training, replanning evaluation, and research on safety behaviors in medical settings; it is intended for model development and evaluation, not as direct clinical guidance.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| final_plan | object | The acute migraine treatment plan formulated after the agent's self-correction. |
| case_context | object | Patient information, medication history, and treatment-related risk context extracted from the source trajectory. |
| initial_plan | object | The acute migraine treatment plan proposed by the agent before it identifies a problem. |
| recovery_result | object | Records whether replanning was completed and any risks in the revised plan that still require attention. |
| self_correction | object | The agent's explicit process of correcting the initial plan and replanning after identifying an issue. |
| identified_error | object | The error, risk, or inapplicable aspect identified in the initial plan, together with the supporting rationale. |
| source_trajectory | string | The complete original conversation or trajectory between the agent and the user or system about acute migraine treatment planning. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What does the dataset contain?
- It records complete agent trajectories for acute migraine treatment planning, including patient and medication context, the initial plan, identified plan issues, the self-correction process, the revised plan, and the recovery outcome.
- Which training and evaluation tasks does it support?
- It can support training and evaluation for agent self-correction, error recovery, and treatment plan replanning, as well as research on medical agent safety. The dataset does not guarantee clinical competence.
- Are sample counts or quality certifications provided?
- The information currently provided does not specify sample counts, data sources, or independent quality certifications. Review the dataset details before use and verify completeness, annotation consistency, and suitability for your project.
- How can I access the data, and what are the licensing terms?
- Refer to the dataset product page or provider agreement for access methods and licensing terms. Before training, research, or commercial deployment, confirm the permitted use, privacy requirements, and applicable medical data policies.
- Can the treatment plans in the data be used directly in clinical care?
- No. The trajectories are intended for model development, training, and evaluation, and do not constitute diagnostic or treatment advice. Clinical decisions should be made by qualified healthcare professionals based on each patient's circumstances.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Migraine Acute Treatment Plan Correction and Self-Correction Trajectory Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/e91480b4cb81e1382a5e8b092d65829a},
urldate={2026-10-19},
keywords={migraine dataset,acute treatment plans,medical agent trajectories,agent self-correction,error recovery training,treatment plan replanning,medication safety,medical AI evaluation},
version={1.0}
}Using this in research? Please cite us.
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