MRI Radiomics Model for Predicting Acute Lumbar Disc Herniation Treatment Response

10.4 MB of data and code for developing a predictive model for acute lumbar disc herniation. The dataset includes Python scripts, serialized model files, and Excel spreadsheets, published under a CC-BY-4.0 license by Dongteng Liao. It was last updated on May 24, 2026.

Use Cases

• Predicting patient response to conservative treatment based on MRI radiomic features.
• Training machine learning models for clinical outcome forecasting in spinal disorders.
• Validating radiomics-based biomarkers for non-surgical lumbar disc herniation management.

Strengths

• Includes both raw data and model code in Python and Excel formats.
• Publicly available under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Dongteng Liao via figshare

Freshness

Last updated 2026-05-24 10:30:16