Research Article
[Retracted] Appropriate Supervised Machine Learning Techniques for Mesothelioma Detection and Cure
| | No. | Attribute description | No. | Attribute description |
| | 1. | Oldness | 2. | Blood platelets counts | | 3. | M/F | 4. | Deposit | | 5. | Town | 6. | BLD | | 7. | Asbestos contact | 8. | High pH phosphatize | | 9. | Kind of DM | 10. | Albumen | | 11. | Interval of asbestos experience | 12. | Glucose contents | | 13. | Analysis process | 14. | PLD | | 15. | Preserve apart | 16. | Whole protein | | 17. | Analysis | 18. | Tubercular protein | | 19. | Interval of signs | 20. | Tubercular albumen | | 21. | Dyspnea | 22. | Tubercular glucose | | 23. | Upper body aches | 24. | Lifeless or not | | 25. | Faintness | 26. | Tubercular outpouring | | 27. | Addiction to smoking | 28. | The tubercular breadth on imaging | | 29. | Routine grade | 30. | Tubercular near of bitterness | | 31. | Counts of WBCs | 32. | CRP | | 33. | Hb | 34. | Tubercular albumen | | 35. | Body cholesterol | | |
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