A model to predict survival following pancreaticoduodenectomy for malignancy based on tumour site, stage and lymph node ratio.
about
An Evaluation of Artificial Neural Networks in Predicting Pancreatic Cancer Survival.Pancreaticoduodenectomy for periampullary tumours: a review article based on Surveillance, End Results and Epidemiology (SEER) database.The impact of the lymph node density on overall survival in patients with Wilms' tumor: a SEER analysis.
P2860
A model to predict survival following pancreaticoduodenectomy for malignancy based on tumour site, stage and lymph node ratio.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
A model to predict survival fo ...... e, stage and lymph node ratio.
@en
type
label
A model to predict survival fo ...... e, stage and lymph node ratio.
@en
prefLabel
A model to predict survival fo ...... e, stage and lymph node ratio.
@en
P2093
P2860
P1476
A model to predict survival fo ...... te, stage and lymph node ratio
@en
P2093
Andrew M Smith
Bobby V M Dasari
Darius F Mirza
John Isaac
Keith J Roberts
Lewis Stevens
Paolo Muiesan
Ravi Marudanayagam
Stefan G Hubscher
P2860
P304
P356
10.1016/J.HPB.2015.11.008
P577
2016-02-24T00:00:00Z