Correction: Comparison of prediction model for cardiovascular autonomic dysfunction using artificial neural network and logistic regression analysis (PLoS ONE (2013) 8:8 (e70571) DOI: 10.1371/journal.pone.0070571);Comparison of Prediction Model for Cardiovascular Autonomic Dysfunction Using Artificial Neural Network and Logistic Regression Analysis

PLoS ONE

Volumn 8, Issue 8, 2013, Pages

  Tang, Zi Hui ^a   Liu, Juanmei ^b   Zeng, Fangfang ^a   Li, Zhongtao ^a   Yu, Xiaoling ^a   Zhou, Linuo ^a  

^a FUDAN UNIVERSITY   (China)

^b Youzhou Vocational and Technology Collage ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; INSULIN; TRIACYLGLYCEROL;

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTONOMIC DYSFUNCTION; BODY MASS; CARDIOVASCULAR AUTONOMIC DYSFUNCTION; CARDIOVASCULAR RISK; CONTROLLED STUDY; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIASTOLIC BLOOD PRESSURE; FEMALE; GLUCOSE BLOOD LEVEL; HEART RATE VARIABILITY; HIGH RISK POPULATION; HUMAN; HYPERTENSION; INSULIN BLOOD LEVEL; INSULIN RESISTANCE; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; OUTCOME ASSESSMENT; PREDICTIVE VALUE; PREVALENCE; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SYSTOLIC BLOOD PRESSURE; TRIACYLGLYCEROL BLOOD LEVEL; VALIDATION PROCESS; VALIDATION STUDY; WAIST CIRCUMFERENCE;

ADULT; AGED; AGED, 80 AND OVER; CARDIOVASCULAR DISEASES; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS;

EID: 84881095384     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0176771     Document Type: Erratum

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