A validation framework improved data quality in a multimodal dataset from 1,274 patients with sickle cell disease, indicating potential for enhanced clinical outcomes analysis.
Key Points
The framework ensures a quality assessment for 235 variables within the multimodal dataset.
Clinical outcomes were linked with specific biomarkers related to hemoglobin S and serum levels.
Data validation practices improved the integrity and completeness across diverse European patient cohorts.
Improved data quality may lead to better AI solutions for personalized treatment in sickle cell disease.