Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index.
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Key points to optimizing management and research on cancer-associated thrombosis.Top ten errors of statistical analysis in observational studies for cancer research.The prognostic impact of additional intrathoracic findings in patients with cancer-related pulmonary embolism.Clinical prediction rules for mortality in patients with pulmonary embolism and cancer to guide outpatient management: a meta-analysis.
P2860
Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index.
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2017 nî lūn-bûn
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name
Predicting serious complicatio ...... modelling: the EPIPHANY Index.
@en
type
label
Predicting serious complicatio ...... modelling: the EPIPHANY Index.
@en
prefLabel
Predicting serious complicatio ...... modelling: the EPIPHANY Index.
@en
P2093
P2860
P50
P356
P1476
Predicting serious complicatio ...... modelling: the EPIPHANY Index
@en
P2093
A Ramchandani
D Calvo-Temprano
E Castañón
I de la Haba
J M Plasencia
P2860
P2888
P304
P356
10.1038/BJC.2017.48
P407
P577
2017-03-07T00:00:00Z