Prediction of incident diabetes in the jackson heart study using high-dimensional machine learning

PLoS ONE

Volumn 11, Issue 10, 2016, Pages

  Casanova, Ramon ^a   Saldana, Santiago ^a   Simpson, Sean L ^a   Lacy, Mary E ^b   Subauste, Angela R ^c   Blackshear, Chad ^c   Wagenknecht, Lynne ^a   Bertoni, Alain G ^a  

^a WAKE FOREST SCHOOL OF MEDICINE   (United States)

^b BROWN UNIVERSITY   (United States)

^c UNIVERSITY OF MISSISSIPPI SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADIPONECTIN; ALDOSTERONE; C REACTIVE PROTEIN; GLUCOSE; HEMOGLOBIN A1C; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LEPTIN; TRIACYLGLYCEROL; BIOLOGICAL MARKER; GLUCOSE BLOOD LEVEL; GLYCOSYLATED HEMOGLOBIN;

ACCURACY; AFRICAN AMERICAN; AREA UNDER THE CURVE; ARTICLE; DIABETES MELLITUS; FEMALE; GLUCOSE BLOOD LEVEL; HEART LEFT VENTRICLE MASS; HUMAN; INCIDENCE; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; PREDICTION; PROTEIN BLOOD LEVEL; RANDOM FOREST; SENSITIVITY AND SPECIFICITY; SYSTOLIC BLOOD PRESSURE; TRIACYLGLYCEROL BLOOD LEVEL; WAIST CIRCUMFERENCE; ADULT; AGED; ANALYSIS; ANTHROPOMETRY; BLOOD; DEMOGRAPHY; DIABETES MELLITUS, TYPE 2; FOLLOW UP; MIDDLE AGED; THEORETICAL MODEL;

ADIPONECTIN; ADULT; AFRICAN AMERICANS; AGED; ANTHROPOMETRY; BIOMARKERS; BLOOD GLUCOSE; C-REACTIVE PROTEIN; CHOLESTEROL, HDL; DEMOGRAPHY; DIABETES MELLITUS, TYPE 2; FEMALE; FOLLOW-UP STUDIES; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; INCIDENCE; LEPTIN; MACHINE LEARNING; MALE; MIDDLE AGED; MODELS, THEORETICAL; TRIGLYCERIDES; WAIST CIRCUMFERENCE;

EID: 84991511077     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0163942     Document Type: Article

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