De-identified individual participant data from a retrospective before–after cohort study evaluating the clinical effectiveness of the JR-ZQSI-NICHE digital neurosurgical decision support system for spontaneous intracerebral hemorrhage. The dataset was authored by Pedregosa, Bonifacio II and hosted on Harvard Dataverse, with a last recorded update on 2026-04-14.
Use Cases
- Train models to predict clinical outcomes based on de-identified patient data.
- Evaluate the effectiveness of a digital decision support system in a clinical setting.
- Conduct comparative effectiveness research for spontaneous intracerebral hemorrhage treatments.
- Analyze patterns in patient cohorts from a before–after study design.
Strengths
- Data is de-identified, which may facilitate sharing and analysis while protecting patient privacy.
- The study employs a before–after cohort design, which can provide comparative insights.
- Dataset metadata includes a specific author and a precise last updated timestamp (2026-04-14 20:17:18).
Limitations
- Row count, column definitions, and file formats are unknown, limiting suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Retrospective before–after cohort study.
- Time Range
- null
- Freshness
- Last updated 2026-04-14 20:17:18; freshness should be verified.
- Geography
- null