A rule-based electronic phenotyping algorithm for detecting clinically relevant cardiovascular disease cases

about

A rule-based electronic phenotyping algorithm for detecting clinically relevant cardiovascular disease cases

Item

http://www.wikidata.org/entity/Q38680483

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

A rule-based electronic phenot ...... t cardiovascular disease cases

@en

type

Item

label

A rule-based electronic phenot ...... t cardiovascular disease cases

@en

prefLabel

A rule-based electronic phenot ...... t cardiovascular disease cases

@en

P1476

A rule-based electronic phenot ...... t cardiovascular disease cases

@en

P2093

Karin Kopitowski

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

Manuel Rodríguez Tablado

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

Ricardo Ignacio Ricci

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

Sergio Terrasa

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

P2860

A systematic review of validated methods for identifying heart failure using administrative data

A systematic review of validated methods for identifying atrial fibrillation using administrative data

Mining electronic health records: towards better research applications and clinical care

Derivation and validation of automated electronic search strategies to identify pertinent risk factors for postoperative acute lung injury

Drug-induced acute myocardial infarction: identifying 'prime suspects' from electronic healthcare records-based surveillance system

Mayo clinic NLP system for patient smoking status identification

Accuracy of heart disease prevalence estimated from claims data compared with an electronic health record.

Validity of administrative data for identifying patients who have had a stroke or transient ischemic attack using EMRALD as a reference standard.

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

Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.

P2888

s13104-017-2600-2

P304

281

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

P31

scholarly article

P356

10.1186/S13104-017-2600-2

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

P433

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

P478

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

P50

Santiago Esteban

P577

2017-07-14T00:00:00Z

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

P6179

1090681127

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

P698

28705240

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

P932

5513369

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