Individual- and Area-Level SES in Diabetes Risk Prediction: The Multi-Ethnic Study of Atherosclerosis

Paul J. Christine; Rebekah Young; Sara D. Adar; Alain G. Bertoni; Michele Heisler; Mercedes R. Carnethon; Rodney A. Hayward; Ana V. Diez Roux

doi:10.1016/j.amepre.2017.04.019

Individual- and Area-Level SES in Diabetes Risk Prediction: The Multi-Ethnic Study of Atherosclerosis

American Journal of Preventive Medicine ◽

10.1016/j.amepre.2017.04.019 ◽

2017 ◽

Vol 53 (2) ◽

pp. 201-209 ◽

Cited By ~ 3

Author(s):

Paul J. Christine ◽

Rebekah Young ◽

Sara D. Adar ◽

Alain G. Bertoni ◽

Michele Heisler ◽

...

Keyword(s):

Risk Prediction ◽

Diabetes Risk ◽

Ethnic Study

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Development of a new diabetes risk prediction tool for incident coronary heart disease events: The Multi-Ethnic Study of Atherosclerosis and the Heinz Nixdorf Recall Study

Atherosclerosis ◽

10.1016/j.atherosclerosis.2014.07.035 ◽

2014 ◽

Vol 236 (2) ◽

pp. 411-417 ◽

Cited By ~ 34

Author(s):

Joseph Yeboah ◽

Raimund Erbel ◽

Joseph Chris Delaney ◽

Robin Nance ◽

Mengye Guo ◽

...

Keyword(s):

Coronary Heart Disease ◽

Heart Disease ◽

Risk Prediction ◽

Diabetes Risk ◽

Prediction Tool ◽

Incident Coronary Heart Disease ◽

Ethnic Study ◽

Heinz Nixdorf Recall Study

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CatBoost Ensemble Approach for Diabetes Risk Prediction at Early Stages

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) ◽

10.1109/odicon50556.2021.9428943 ◽

2021 ◽

Author(s):

P. Suresh Kumar ◽

Anisha Kumari K ◽

Subhashree Mohapatra ◽

Bighnaraj Naik ◽

Janmenjoy Nayak ◽

...

Keyword(s):

Risk Prediction ◽

Diabetes Risk ◽

Early Stages ◽

Ensemble Approach

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Optimal multi-layer perceptron parameters for early stage diabetes risk prediction

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1073/1/012070 ◽

2021 ◽

Vol 1073 (1) ◽

pp. 012070

Author(s):

V N Wijayaningrum ◽

T H Saragih ◽

N N Putriwijaya

Keyword(s):

Risk Prediction ◽

Early Stage ◽

Diabetes Risk ◽

Multi Layer Perceptron

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Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques

International Journal of Medical Informatics ◽

10.1016/j.ijmedinf.2021.104429 ◽

2021 ◽

Vol 149 ◽

pp. 104429

Author(s):

Jun Li ◽

Qingguang Chen ◽

Xiaojuan Hu ◽

Pei Yuan ◽

Longtao Cui ◽

...

Keyword(s):

Machine Learning ◽

Prediction Model ◽

Risk Prediction ◽

Diabetes Risk ◽

Risk Prediction Model ◽

Machine Learning Techniques ◽

Model Based ◽

Learning Techniques

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Does NAFLD Mediate the Relationship Between Obesity and Type 2 Diabetes Risk? Evidence from the Multi-Ethnic Study of Atherosclerosis (MESA)

Annals of Epidemiology ◽

10.1016/j.annepidem.2021.07.005 ◽

2021 ◽

Author(s):

Luis A. Rodriguez ◽

Alka M. Kanaya ◽

Stephen C. Shiboski ◽

Alicia Fernandez ◽

David Herrington ◽

...

Keyword(s):

Type 2 Diabetes ◽

Diabetes Risk ◽

Ethnic Study ◽

The Relationship

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Diabetes risk prediction model for non-obese Asian Indians residing in North India using cut-off values for pancreatic and intra-abdominal fat volume and liver span

Journal of Diabetes ◽

10.1111/1753-0407.12396 ◽

2016 ◽

Vol 8 (5) ◽

pp. 729-731 ◽

Cited By ~ 3

Author(s):

Shajith Anoop ◽

Anoop Misra ◽

Kalaivani Mani ◽

Ravindra Mohan Pandey ◽

Seema Gulati

Keyword(s):

Prediction Model ◽

Risk Prediction ◽

Asian Indians ◽

Abdominal Fat ◽

Diabetes Risk ◽

Risk Prediction Model ◽

North India ◽

Fat Volume

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Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction

Health Information Science and Systems ◽

10.1186/s13755-016-0015-4 ◽

2016 ◽

Vol 4 (1) ◽

Cited By ~ 37

Author(s):

Gang Luo

Keyword(s):

Machine Learning ◽

Type 2 Diabetes ◽

Risk Prediction ◽

Diabetes Risk

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Glucogene: Diabetes risk prediction at 2 years for coronary patients on dietary advice (from the CORDIOPREV study)

Atherosclerosis ◽

10.1016/j.atherosclerosis.2018.06.174 ◽

2018 ◽

Vol 275 ◽

pp. e63-e64

Author(s):

J.F. Alcala-Diaz ◽

A.P. Arenas De Larriva ◽

A. Garcia-Rios ◽

A. Ortiz-Morales ◽

E. Yubero-Serrano ◽

...

Keyword(s):

Risk Prediction ◽

Diabetes Risk ◽

Dietary Advice ◽

Coronary Patients

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Diabetes risk prediction using machine learning: prospect and challenges

JOURNAL OF BIOINFORMATICS AND PROTEOMICS REVIEW ◽

10.15436/2381-0793.17.1317 ◽

2017 ◽

Vol 3 (2) ◽

pp. 194-195

Author(s):

Shankaracharya S ◽

Keyword(s):

Machine Learning ◽

Risk Prediction ◽

Diabetes Risk

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Effect of model updating strategies on the performance of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa

PLoS ONE ◽

10.1371/journal.pone.0211528 ◽

2019 ◽

Vol 14 (2) ◽

pp. e0211528

Author(s):

Katya L. Masconi ◽

Tandi E. Matsha ◽

Rajiv T. Erasmus ◽

Andre P. Kengne

Keyword(s):

South Africa ◽

Risk Prediction ◽

Prediction Models ◽

Model Updating ◽

Diabetes Risk ◽

Mixed Ancestry ◽

Risk Prediction Models

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