Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past.

Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past.

<p>Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jingru Dong (14076094) (author)
مؤلفون آخرون:	Ruijiao Lei (20790315) (author), Feiyang Ma (6183380) (author), Lu Yu (74016) (author), Lanlan Wang (160537) (author), Shangzhi Xu (625782) (author), Yunhua Hu (5215919) (author), Jialin Sun (356541) (author), Wenwen Zhang (331647) (author), Haixia Wang (173360) (author), Li Zhang (8200) (author)
منشور في:	2025
الموضوعات:	Biotechnology Developmental Biology Cancer Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified voting mechanism using voting mechanism exhibits valuable reference support invasive ductal carcinoma experimental results show common pathologic type best prediction performance hybrid model based detecting cancer metastasis risk prediction model develop cancer metastases idc hematogenous metastasis distant metastasis risk breast </ p based prediction breast cancer distant organs constructed based xlink "> work efficiency used anaconda text mining roc curve related complications random forest provide patients poor quality poor prognosis machine learning logistic regression jupyter notebooks increased chances highly susceptible four algorithms following metrics extremely important data processing also improves 94 ).
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