A clinical decision support tool to predict survival in cancer patients beyond 120 days after palliative chemotherapy
about
Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT.Mining disease risk patterns from nationwide clinical databases for the assessment of early rheumatoid arthritis risk.Improving the Prediction of Survival in Cancer Patients by Using Machine Learning Techniques: Experience of Gene Expression Data: A Narrative Review.
P2860
A clinical decision support tool to predict survival in cancer patients beyond 120 days after palliative chemotherapy
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
A clinical decision support to ...... after palliative chemotherapy
@ast
A clinical decision support to ...... after palliative chemotherapy
@en
type
label
A clinical decision support to ...... after palliative chemotherapy
@ast
A clinical decision support to ...... after palliative chemotherapy
@en
prefLabel
A clinical decision support to ...... after palliative chemotherapy
@ast
A clinical decision support to ...... after palliative chemotherapy
@en
P2860
P356
P1476
A clinical decision support to ...... after palliative chemotherapy
@en
P2093
P2860
P304
P356
10.1089/JPM.2011.0417
P50
P577
2012-06-12T00:00:00Z