0% Complete
صفحه اصلی
/
سی و یکمین کنفرانس بین المللی مهندسی برق
A Hybrid Computer-aided Diagnosis System For Central Obesity Screening In A Large Sample Of Iranian Children and Adolescents
نویسندگان :
Amirhossein Koochekian
1
Morteza Farahi
2
Hamid Reza Sadr manouchehri Naeini
3
Mohammad Reza Mohebian
4
Hamid Reza Marateb
5
Marjan Mansourian
6
Roya Kelishadi
7
1- دانشگاه علوم پزشکی اصفهان
2- دانشگاه علوم پزشکی تهران
3- دانشگاه آزاد اسلامی واحد دماوند
4- university of Saskatchewan
5- دانشگاه اصفهان
6- دانشگاه علوم پزشکی اصفهان
7- دانشگاه علوم پزشکی اصفهان
کلمات کلیدی :
BMI،CASPIAN Study،classification،life-Style،obesity
چکیده :
Central obesity is the basis of metabolic syndrome, which may lead to type 2 diabetes and cardiovascular disease. Its screening is critical in childhood to prevent such problems in adulthood. We presented a computer-aided diagnosis system to classify children and adolescents into obese and non-obese groups based on input features obtained from the subject's nutritional behavior, physical activity, genetics, socioeconomic status, and family history of diseases (the CASPIAN IV study). A total of 13,386 subjects (49% female) with a central obesity prevalence of 19% participated. The categorical features were converted to interval features using the Logit function, and the XGBoost classifier with grid search was then used. Other linear and nonlinear classifiers were also used for comparison. Some selected features were family history of hypertension, weight at birth, number of close friends, breakfast, and screen time categories. The proposed screening system showed a high association between predicted and observed class labels (Matthews correlation coefficient =0.76), excellent balanced diagnosis accuracy (AU-ROC =0.90), and excellent class labeling agreement rate (Kappa = 0.75) using 4-fold cross-validation. It is thus a promising screening tool. Moreover, it significantly outperformed the other tested classifiers (adj. P-value<0.05). Although, as a cross-sectional study, no causality can be inferred.
لیست مقالات
لیست مقالات بایگانی شده
SAR Images Clustering Based on Modified Nonlinear Orthogonal non-Negative Matrix Factorization (NMF)
Mahdi Jowkar dehouei - Soolmaz Khazandi - Yaser Norouzi
Coverage Probability Analysis of User Association in NOMA-Based Full-Duplex Systems
Shaghayegh Asadollahi dehkordi - Mohammadali Mohammadi - Zahra Mobini - Sepideh Haghgoy
Design and Performance Analysis of a Novel Optical Biosensor for Measuring Glucose Concentration in Urine
Sania Eskandari - Siavash Zargari - Saeed Meshgini - Ali Farzamnia
پیچش زمانی عمیق برای انطباق چندگانه سری های زمانی
سیدعلیرضا نوربخش - نرجس الهدی محمدزاده
Non-Invasive Blood Pressure Estimation using Poincaré Plot Indices of Photoplethysmography Signals
Fatemeh Shoeibi - Esmaeil Najafiaghdam - Afshin Ebrahimi
Improving CCA-based methods for SSVEP classification using a common source graph
Nastaran Noori - Sepideh Hajipour Sardouie
Incentive-based Demand Response Economic Model for Peak Shaving Considering Load Serving Entity Profit Maximization
Nasim EslamiNia - Habib RajabiMashhdi
Effect of Physical Characteristics on Artificial Neural Network Error Reduction for Indoor Propagation Modeling
SeyedehMounes Eslami - Amir Ahmad Shishegar
Robot-Assisted Rehabilitation with Optimal Impedance: Using an $\mathcal{EKF}$-Based $\mathcal{L}asso-\mathcal{MPC}$
Hossein Ahmadian - Iman Sharifi - Heidar Ali Talebi
طراحی کنترلکننده استروباسکوپ زمان واقعی مبتنی بر هوش مصنوعی برای سیستم های دورانی
مهدی مظفری - سعید جعفری نسب - حامد پورکاوه - سعید شمقدری
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2