Lymphography
所属分类：数值算法/人工智能
开发工具：Jupyter Notebook
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上传日期：2024-03-31 12:54:57
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sh-1993
说明： 引文确认如果你使用这个数据集，请引用：这个淋巴造影领域是从南斯拉夫卢布尔雅那肿瘤学研究所大学医学中心获得的。感谢M.Zwitter和M.Soklic提供数据。
(Citations Acknowledgements If you use this dataset, please cite: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and M. Soklic for providing the data.)
文件列表:
Lymphography.pkl
Lymphography_Prediction.ipynb
lymphography.csv
# Lymphography
Citations/Acknowledgements If you use this dataset, please cite: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and M. Soklic for providing the data.
### This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access)
- Dataset Characteristics: Multivariate
- Subject Area: Health and Medicine
- Associated Tasks: Classification
- Feature Type: Categorical
### Features
1. **lymphatics:** normal, arched, deformed, displaced
2. **block of affere:** no, yes
3. **bl. of lymph. c:** no, yes
4. **bl. of lymph. s:** no, yes
5. **by pass:** no, yes
6. **extravasates:** no, yes
7. **regeneration of:** no, yes
8. **early uptake in:** no, yes
9. **lym.nodes dimin:** 0-3
10. **lym.nodes enlar:** 1-4
11. **changes in lym.:** bean, oval, round
12. **defect in node:** no, lacunar, lac. marginal, lac. central
13. **changes in node:** no, lacunar, lac. margin, lac. central
14. **changes in stru:** no, grainy, drop-like, coarse, diluted, reticular, stripped, faint,
15. **special forms:** no, chalices, vesicles
16. **dislocation of:** no, yes
17. **exclusion of no:** no, yes
18. **no. of nodes in:** 0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, >=70
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