Description Usage Arguments Details Value References See Also
From UCI: 1. DGN: Diagnosis - specific combination of ICD-10 codes for primary and secondary as well multiple tumours if any (DGN3,DGN2,DGN4,DGN6,DGN5,DGN8,DGN1) 2. PRE4: Forced vital capacity - FVC (numeric) 3. PRE5: Volume that has been exhaled at the end of the first second of forced expiration - FEV1 (numeric) 4. PRE6: Performance status - Zubrod scale (PRZ2,PRZ1,PRZ0) 5. PRE7: Pain before surgery (T,F) 6. PRE8: Haemoptysis before surgery (T,F) 7. PRE9: Dyspnoea before surgery (T,F) 8. PRE10: Cough before surgery (T,F) 9. PRE11: Weakness before surgery (T,F) 10. PRE14: T in clinical TNM - size of the original tumour, from OC11 (smallest) to OC14 (largest) (OC11,OC14,OC12,OC13) 11. PRE17: Type 2 DM - diabetes mellitus (T,F) 12. PRE19: MI up to 6 months (T,F) 13. PRE25: PAD - peripheral arterial diseases (T,F) 14. PRE30: Smoking (T,F) 15. PRE32: Asthma (T,F) 16. AGE: Age at surgery (numeric) 17. Risk1Y: 1 year survival period - (T)rue value if died (T,F)
1 2 | createThoraricSurgery(file = getfilepath("thoraricsurgery.rds"),
write = TRUE, read = TRUE)
|
file |
character; path/filename to write data file to |
write |
logical; should the dataset be written to disk for later use? (default: TRUE) |
read |
logical; should we try to read the dataset from the specified location first? (default: TRUE) |
Task: formula(Risk1Yr ~ .)
The dataset as a data.table
Zieba, M., Tomczak, J. M., Lubicz, M., & 'Swikatek J. (2013). Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients. Applied Soft Computing.
https://archive.ics.uci.edu/ml/datasets/Thoracic+Surgery+Data
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