Data Extraction
Cross-source consensus on Data Extraction from 1 sources and 4 claims.
1 sources · 4 claims
Evidence quality
Other
Highlighted claims
- The review will record data sources, data types, features, labels, dataset size, and machine learning models. — Machine learning for medication error detection: a scoping review protocol
- The review will extract metadata such as title, authors, year, and journal or conference. — Machine learning for medication error detection: a scoping review protocol
- The review will extract study characteristics such as geography, study design, objectives, and clinical context. — Machine learning for medication error detection: a scoping review protocol
- The extraction framework was guided by CHARMS to capture clinical and technical dimensions of prediction-modelling studies. — Machine learning for medication error detection: a scoping review protocol