
I'll provide your full radiomics pipeline as a Python .ipynb notebook with English descriptions, clean code blocks, and documentation that makes it understandable to a reader or reviewer. The Script Will Include: Import Libraries Load Radiomics Data (from Excel) Preprocessing Feature Selection with LASSO Logistic Regression on Top Features Cross-validation (5-fold) Performance Metrics Pearson Correlation Analysis AUC Curves Export Results
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
