Predicting admissions and time spent in hospital over a decade in a population-based record linkage study: the EPIC-Norfolk cohort

about

Alcohol consumption and future hospital usage: The EPIC-Norfolk prospective population study

P2860

Q57175538-0CD49503-23B9-4BC4-9D8D-DE260623054A

P2860

Predicting admissions and time spent in hospital over a decade in a population-based record linkage study: the EPIC-Norfolk cohort

Item

http://www.wikidata.org/entity/Q36527142

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

Predicting admissions and time ...... study: the EPIC-Norfolk cohort

@ast

Predicting admissions and time ...... study: the EPIC-Norfolk cohort

@en

type

Item

label

Predicting admissions and time ...... study: the EPIC-Norfolk cohort

@ast

Predicting admissions and time ...... study: the EPIC-Norfolk cohort

@en

prefLabel

Predicting admissions and time ...... study: the EPIC-Norfolk cohort

@ast

Predicting admissions and time ...... study: the EPIC-Norfolk cohort

@en

P1476

Predicting admissions and time ...... study: the EPIC-Norfolk cohort

@en

P2093

Nicolas Wareham

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

Shabina Hayat

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

P2860

Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)

Cohort profile: A prospective cohort study of objective physical and cognitive capability and visual health in an ageing population of men and women in Norfolk (EPIC-Norfolk 3)

The relationship between body mass index and hospitalisation rates, days in hospital and costs: findings from a large prospective linked data study.

Cohort profile: the Scottish health surveys cohort: linkage of study participants to routinely collected records for mortality, hospital discharge, cancer and offspring birth characteristics in three nationwide studies.

Socioeconomic deprivation and the incidence of 12 cardiovascular diseases in 1.9 million women and men: implications for risk prediction and prevention.

Hospital admissions, age, and death: retrospective cohort study.

Hospital admissions in relation to body mass index in UK women: a prospective cohort study.

Obesity and use of acute hospital services in participants of the Renfrew/Paisley study.

United Kingdom (England): Health system review.

An analysis of the link between behavioural, biological and social risk factors and subsequent hospital admission in Scotland.

P304

e009461

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

P31

scholarly article

P356

10.1136/BMJOPEN-2015-009461

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

P433

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

P478

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

P50

Kay-Tee Khaw

Robert N. Luben

P577

2016-01-20T00:00:00Z

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

P5875

291396959

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

P698

26792216

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

P932

4735298

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

Predicting admissions and time spent in hospital over a decade in a population-based record linkage study: the EPIC-Norfolk cohort

about

P2860

P2860

Predicting admissions and time spent in hospital over a decade in a population-based record linkage study: the EPIC-Norfolk cohort

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P5875

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P5875

P698

P932