Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.

Item

http://www.wikidata.org/entity/Q38965855

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

@zh-cn

name

Mining peripheral arterial dis ...... g natural language processing.

@en

type

Item

label

Mining peripheral arterial dis ...... g natural language processing.

@en

prefLabel

Mining peripheral arterial dis ...... g natural language processing.

@en

P1476

Mining peripheral arterial dis ...... g natural language processing.

@en

P2093

Adelaide M Arruda-Olson

http://www.w3.org/2001/XMLSchema#string

Christopher G Scott

http://www.w3.org/2001/XMLSchema#string

Hongfang Liu

http://www.w3.org/2001/XMLSchema#string

Iftikhar J Kullo

http://www.w3.org/2001/XMLSchema#string

Naveed Afzal

http://www.w3.org/2001/XMLSchema#string

Rajeev Chaudhry

http://www.w3.org/2001/XMLSchema#string

Sara Abram

http://www.w3.org/2001/XMLSchema#string

Sunghwan Sohn

http://www.w3.org/2001/XMLSchema#string

P2860

Peripheral arterial disease detection, awareness, and treatment in primary care

Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system.

Billing code algorithms to identify cases of peripheral artery disease from administrative data

Use of International Classification of Diseases, Ninth Revision, Clinical Modification codes and medication use data to identify nosocomial Clostridium difficile infection.

ACC/AHA 2005 guidelines for the management of patients with peripheral arterial disease (lower extremity, renal, mesenteric, and abdominal aortic): executive summary a collaborative report from the American Association for Vascular Surgery/Society f

Discovering peripheral arterial disease cases from radiology notes using natural language processing.

Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports.

Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.

Automating a severity score guideline for community-acquired pneumonia employing medical language processing of discharge summaries

An information extraction framework for cohort identification using electronic health records.

P304

1753-1761

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1016/J.JVS.2016.11.031

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2017-02-08T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28189359

http://www.w3.org/2001/XMLSchema#string

P932

5438905

http://www.w3.org/2001/XMLSchema#string