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DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records.DMTO: a realistic ontology for standard diabetes mellitus treatment.In silico cancer research towards 3R.Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data.Knowledge-based biomedical Data ScienceMachine Learning for In Silico Modeling of Tumor Growth
P2860
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 information model for computable cancer phenotypes.
@ast
An information model for computable cancer phenotypes.
@en
type
label
An information model for computable cancer phenotypes.
@ast
An information model for computable cancer phenotypes.
@en
prefLabel
An information model for computable cancer phenotypes.
@ast
An information model for computable cancer phenotypes.
@en
P2093
P2860
P1476
An information model for computable cancer phenotypes
@en
P2093
David Harris
Guergana Savova
Melissa Castine
P2860
P2888
P356
10.1186/S12911-016-0358-4
P577
2016-09-15T00:00:00Z