Investigating spousal concordance of diabetes through statistical analysis and data mining.

about

Investigating spousal concordance of diabetes through statistical analysis and data mining.

Item

http://www.wikidata.org/entity/Q38619859

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh

2017年學術文章

@zh-hant

name

Investigating spousal concorda ...... ical analysis and data mining.

@en

type

Item

label

Investigating spousal concorda ...... ical analysis and data mining.

@en

prefLabel

Investigating spousal concorda ...... ical analysis and data mining.

@en

P1476

Investigating spousal concorda ...... ical analysis and data mining.

@en

P2093

Chi-Hsuan Lung

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

Chiu-Shong Liu

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

Ming-Hung Lin

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

Ya-Tun Yang

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

P2860

Concordance of chronic conditions in older Mexican American couples.

'Big data', Hadoop and cloud computing in genomics.

Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting

Application of data mining to the identification of critical factors in patient falls using a web-based reporting system.

Married couples' risk of same disease: cross sectional study.

Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Spousal influence on general health behaviors in a community sample.

Is the Relationship between Common Mental Disorder and Adiposity Bidirectional? Prospective Analyses of a UK General Population-Based Study.

The Effect of Comorbidity on Glycemic Control and Systolic Blood Pressure in Type 2 Diabetes: A Cohort Study with 5 Year Follow-Up in Primary Care.

Environmental clustering of drug abuse in households and communities: multi-level modeling of a national Swedish sample.

P304

e0183413

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

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0183413

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

P407

English

P433

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

P478

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

P50

Jong-Yi Wang

P577

2017-08-17T00:00:00Z

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

P698

28817654

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

P921

spouse

Amar

P932

5560637

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