An Effective Machine Learning Approach for Prognosis of Paraquat Poisoning Patients Using Blood Routine Indexes.
about
A new machine-learning method to prognosticate paraquat poisoned patients by combining coagulation, liver, and kidney indices.Derivation and validation of different machine-learning models in mortality prediction of trauma in motorcycle riders: a cross-sectional retrospective study in southern Taiwan.Point-of-care testing in the early diagnosis of acute pesticide intoxication: The example of paraquat.Arterial lactate in predicting mortality after paraquat poisoning: A meta-analysis
P2860
An Effective Machine Learning Approach for Prognosis of Paraquat Poisoning Patients Using Blood Routine Indexes.
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
An Effective Machine Learning ...... s Using Blood Routine Indexes.
@en
An Effective Machine Learning ...... s Using Blood Routine Indexes.
@nl
type
label
An Effective Machine Learning ...... s Using Blood Routine Indexes.
@en
An Effective Machine Learning ...... s Using Blood Routine Indexes.
@nl
prefLabel
An Effective Machine Learning ...... s Using Blood Routine Indexes.
@en
An Effective Machine Learning ...... s Using Blood Routine Indexes.
@nl
P2093
P2860
P356
P1476
An Effective Machine Learning ...... ts Using Blood Routine Indexes
@en
P2093
Guangliang Hong
Huaizhong Li
Jianshe Ma
P2860
P356
10.1111/BCPT.12638
P577
2016-08-29T00:00:00Z