[HTML] jmir.org

[HTML][HTML] Clinical relation extraction toward drug safety surveillance using electronic health record narratives: classical learning versus deep learning

T Munkhdalai, F Liu, H Yu - JMIR public health and …, 2018 - publichealth.jmir.org
Background: Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …
被引用次数：79 相关文章

Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

T Munkhdalai, F Liu, H Yu - JMIR Public Health and …, 2018 - search.proquest.com
Background: Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …

Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

T Munkhdalai, F Liu, H Yu - 2018 - repository.escholarship.umassmed …
BACKGROUND: Medication and adverse drug event (ADE) information extracted from
electronic health record (EHR) notes can be a rich resource for drug safety surveillance …

Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning.

T Munkhdalai, F Liu, H Yu - JMIR Public Health and Surveillance, 2018 - europepmc.org
Background Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …
[HTML] nih.gov

[HTML][HTML] Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

T Munkhdalai, F Liu, H Yu - JMIR Public Health and Surveillance, 2018 - ncbi.nlm.nih.gov
Background Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …
[HTML] jmir.org

[HTML][HTML] Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

T Munkhdalai, F Liu, H Yu - JMIR Public Health and …, 2018 - publichealth.jmir.org
Background: Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …

Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning.

T Munkhdalai, F Liu, H Yu - Journal of Medical Internet …, 2018 - search.ebscohost.com
Background: Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …

[引用][C] Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

T Munkhdalai, F Liu, H Yu - JMIR Public Health and Surveillance, 2018 - cir.nii.ac.jp
Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record
Narratives: Classical Learning Versus Deep Learning | CiNii Research CiNii 国立情報学研究所 …

Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

T Munkhdalai, F Liu, H Yu - JMIR public health and …, 2018 - pubmed.ncbi.nlm.nih.gov
Background Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …
[PDF] scienceopen.com

[PDF][PDF] Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

T Munkhdalai, F Liu, H Yu - scienceopen.com
Background: Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …