Independent external validation and comparison of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa.

about

Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa Developing a Screening Algorithm for Type II Diabetes Mellitus in the Resource-Limited Setting of Rural Tanzania.

P2860

Q30997374-96D9C539-747B-4961-ABE4-F8C0E6F65176 Q36804450-0D6675CC-DA3B-49C0-A9FB-A8300F6066BF

P2860

Independent external validation and comparison of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa.

Item

http://www.wikidata.org/entity/Q35619751

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Independent external validatio ...... ry population of South Africa.

@ast

Independent external validatio ...... ry population of South Africa.

@en

type

Item

label

Independent external validatio ...... ry population of South Africa.

@ast

Independent external validatio ...... ry population of South Africa.

@en

prefLabel

Independent external validatio ...... ry population of South Africa.

@ast

Independent external validatio ...... ry population of South Africa.

@en

P1476

Independent external validatio ...... ry population of South Africa.

@en

P2093

Katya Masconi

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

Rajiv T Erasmus

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

P2860

Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting

Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

Risk scores based on self-reported or available clinical data to detect undiagnosed type 2 diabetes: a systematic review.

High prevalence of diabetes mellitus and metabolic syndrome in a South African coloured population: baseline data of a study in Bellville, Cape Town.

Routinely collected general practice data aids identification of people with hyperglycaemia and metabolic syndrome.

The performance of a risk score as a screening test for undiagnosed hyperglycemia in ethnic minority groups: data from the 1999 health survey for England.

Risk assessment tools for identifying individuals at risk of developing type 2 diabetes.

A simple screening score for diabetes for the Korean population: development, validation, and comparison with other scores.

Assessing the performance of prediction models: a framework for traditional and novel measures.

P2888

s13098-015-0039-y

P304

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

P31

scholarly article

P356

10.1186/S13098-015-0039-Y

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

P478

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

P50

Andre P Kengne

Tandi E Matsha

P577

2015-05-09T00:00:00Z

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

P5875

260394623

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

P6179

1015678923

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

P698

25987905

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

P921

Aafrikaa Kibbaa

P932

4435909

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

Independent external validation and comparison of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa.

about

P2860

P2860

Independent external validation and comparison of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P478

P50

P577

P5875

P6179

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P478

P50

P577

P5875

P6179

P698

P921

P932