Five major clinical scoring systems are evaluated for predicting adverse outcomes in adult patients presenting to a Malaysian Emergency Department with suspected infection. The dataset, authored by Wen, Evelyn Chau Yi and hosted on Harvard Dataverse, was last updated on 2026-05-29. It likely contains patient-level data for comparing the prognostic performance of SIRS, qSOFA, SOFA, NEW2, and MEWS scores.
Use Cases
- Compare the prognostic accuracy of SIRS, qSOFA, SOFA, NEW2, and MEWS scores based on the described clinical evaluation.
- Develop machine learning models for early detection of infection-related adverse outcomes based on emergency department presentation data.
- Benchmark new clinical risk scores against established systems using data from a Malaysian patient cohort.
Strengths
- Focuses on a specific and clinically relevant comparison of five established scoring systems.
- Data is associated with a study conducted in Malaysia, providing geographic specificity.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely collected from clinical records of adult patients presenting to an Emergency Department with suspected infection.
- Freshness
- Last updated 2026-05-29 19:44:28; freshness should be verified.
- Geography
- Malaysia