scholarly journals A Data Mining Approach Identified Salivary Biomarkers That Discriminate between Two Obesity Measures

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Ping Shi ◽  
J. Max Goodson
Keyword(s):  
Data Mining ◽  
Waist Circumference ◽  
Classification Performance ◽  
The Body ◽  
Clinical Feature ◽  
Fitness Level ◽  
Factors Associated ◽  
Salivary Biomarkers ◽  
Data Mining Approach ◽  
Bootstrap Percentile

Background. A key mechanism of obesity involves dysregulation of metabolic and inflammatory markers. This study aimed to identify salivary biomarkers and other factors associated with obesity using an ensemble data mining approach. Methods. For a random cohort of over 700 subjects from 8137 Kuwait children (10.00 ± 0.67 years), four data mining methods were applied to identify important variables associated with obesity, including logistic regression by lasso regularization (Lasso), multivariate adaptive regression spline (MARS), random forests (RF), and boosting classification trees (BT). Each algorithm generated a variable importance rank list, based on an internal cross-validation procedure. An aggregated importance ranking was constructed by averaging the rank ordering of variables from individual list, weighted by the classification performance of respective models. Subsequently, the subset of top-ranking variables that were identified with at least three algorithms was evaluated by classification performance using receiver operating characteristic (ROC) analysis with bootstrap percentile resampling. Results. Obesity was defined either by the waist circumference (OBW) or by the body mass index (BMI) (OBWHO). We identified C-reactive protein (CRP), insulin, leptin, adiponectin, as salivary biomarkers associated with OBW, plus a clinical feature fitness level. A similar set of biomarkers was identified for OBWHO, but not including leptin. Tree-based clustering analysis revealed patterns that were significantly different between the OBW and OBWHO subjects. Conclusion. A data mining approach based on multiple algorithms is useful for identifying factors associated with phenotypes, especially in cases where relationships are not salient, and a consensus from multiple methods can help produce a more generalizable subset of features. In this case, we have demonstrated that evaluation using the waist circumference includes association with high levels of salivary leptin, which is not seen with evaluation by BMI.

Factors associated with atherosclerotic plaque echogenicity in patients aged 40-64 with carotid atherosclerosis

Kardiologiia ◽  
2021 ◽  
Vol 61 (6) ◽  
pp. 35-40
Author(s):  
V. V. Genkel ◽  
A. S. Kuznetsova ◽  
E. V. Lebedev ◽  
I. I. Shaposhnik
Keyword(s):  
Uric Acid ◽  
Waist Circumference ◽  
Atherosclerotic Plaque ◽  
Carotid Atherosclerosis ◽  
The Body ◽  
Factors Associated ◽  
Grey Scale ◽  
Adobe Photoshop ◽  
Body Weight Index ◽  
Atherosclerotic Cardiovascular Diseases

Aim    To identify clinical and laboratory indexes related with the atherosclerotic plaque (ASP) echogenicity based on results of the analysis of grey-scale median (GSM) in patients aged 40–64 years.Material and methods    The study included patients aged 40–64 years with carotid atherosclerosis. The carotid duplex scanning was performed for all patients. The GSM analysis of obtained images was performed with the Adobe Photoshop CS6 software.Results    Atherosclerotic cardiovascular diseases were found in 31 (21.4 %) patients. Correlation analysis determined inverse interrelationships between GSM and the body weight index (BWI) (r=–0.359; p<0.0001), waist circumference (r=–0.357; p<0.0001), and levels of uric acid (r=–0.244; p=0.021) and glucose (r=–0.205; p=0.032). According to the regression, statistically significant correlations remained between GSM and BWI as well as the waist circumference after the adjustment for sex and age.Conclusion    In patients with carotid atherosclerosis aged 40–64 years, the decrease in ASP GSM was associated with increases in BWI and waist circumference.

scholarly journals 851 Risk Factors Associated with Life Threatening Infections in Children with Febrile Neutropenia a Data Mining Approach

2012 ◽  
Vol 97 (Suppl 2) ◽  
pp. A245-A245
Author(s):  
Z. Badiei ◽  
M. Alami ◽  
M. Khalesi ◽  
H. Farhangi ◽  
A. Banihashem ◽  
...  
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Febrile Neutropenia ◽  
Factors Associated ◽  
Data Mining Approach ◽  
Life Threatening

Exploring factors associated with pressure ulcers: A data mining approach

2015 ◽  
Vol 52 (1) ◽  
pp. 102-111 ◽  
Author(s):  
Dheeraj Raju ◽  
Xiaogang Su ◽  
Patricia A. Patrician ◽  
Lori A. Loan ◽  
Mary S. McCarthy
Keyword(s):  
Data Mining ◽  
Pressure Ulcers ◽  
Factors Associated ◽  
Data Mining Approach

scholarly journals Data-Mining Analysis Suggests an Epigenetic Pathogenesis for Type 2 Diabetes

2005 ◽  
Vol 2005 (2) ◽  
pp. 104-112 ◽  
Author(s):  
Jonathan D. Wren ◽  
Harold R. Garner
Keyword(s):  
Data Mining ◽  
Type 2 Diabetes ◽  
Paradigm Shift ◽  
Scientific Literature ◽  
Chemical Compounds ◽  
The Body ◽  
Epigenetic Factors ◽  
Data Mining Approach ◽  
Comprehensive Survey

The etiological origin of type 2 diabetes mellitus (T2DM) has long been controversial. The body of literature related to T2DM is vast and varied in focus, making a broad epidemiological perspective difficult, if not impossible. A data-mining approach was used to analyze all electronically available scientific literature, over 12 million Medline records, for “objects” such as genes, diseases, phenotypes, and chemical compounds linked to other objects within the T2DM literature but were not themselves within the T2DM literature. The goal of this analysis was to conduct a comprehensive survey to identify novel factors implicated in the pathology of T2DM by statistically evaluating mutually shared associations. Surprisingly, epigenetic factors were among the highest statistical scores in this analysis, strongly implicating epigenetic changes within the body as causal factors in the pathogenesis of T2DM. Further analysis implicates adipocytes as the potential tissue of origin, and cytokines or cytokine-like genes as the dysregulated factor(s) responsible for the T2DM phenotype. The analysis provides a wealth of literature supporting this hypothesis, which—if true—represents an important paradigm shift for researchers studying the pathogenesis of T2DM.

Data Mining Techniques for Diagnosis of Diabetes: A Review

2018 ◽  
Vol 6 (9) ◽  
pp. 212
Author(s):  
Tushar Deshmukh ◽  
H. S. Fadewar
Keyword(s):  
Data Mining ◽  
Blood Glucose ◽  
The Body ◽  
Data Mining Techniques ◽  
Early Stages ◽  
Historic Data ◽  
Prediction Of Diabetes

This Diabetes is such a common dieses found all over the globe, in which blood glucose or in normal terminology the sugar level in blood is increased. It is the condition of the body in which the insulin which is required for the metabolism of the food is not created or body cannot use the insulin produced properly. Doctors say that diabetes can be controlled if it is detected in its early stages. Data mining is the process in which the data can be used for the prediction based on historic data. The intention here is to analysis how various researchers have used the data mining for better prediction of diabetes so that it could be controlled and possible even cured.

Efficacy and safety of drospirenone-containing microdosage combined oral contraceptive use with starting contraception

GYNECOLOGY ◽  
2018 ◽  
Vol 20 (2) ◽  
pp. 9-13
Author(s):  
A R Khachaturian ◽  
E V Misharina ◽  
M I Yarmolinskaya
Keyword(s):  
Blood Pressure ◽  
Body Weight ◽  
Oral Contraceptive ◽  
Waist Circumference ◽  
Young Women ◽  
Iron Metabolism ◽  
Serum Iron ◽  
The Body ◽  
Menstrual Bleeding ◽  
Combined Oral Contraceptive

Androgen-dependent dermopathy, as well as premenstrual syndrome of varying severity in young women, can cause emotional depression, difficulties in social adaptation and even depressive disorders. The aim of the study was to study the safety and efficacy of using a combined oral contraceptive (COC) Dimia® containing 20 μg ethinyl estradiol and 3 mg drospirenone in young women, as well as its therapeutic effects in androgen-dependent dermopathy. Materials and methods. The study included 57 young women aged 23.1±2.2 years with signs of androgen-dependent dermopathy. The evaluation of the change in the character of menstrual bleeding, the anthropometric parameters (body weight, waist circumference and hips), the therapeutic effect of the drug on the symptoms of androgen-dependent dermopathy, as well as the dynamics of arterial pressure, hemoglobin level, serum iron have been studied. The psycho-emotional state was assessed using the SAN questionnaire (well-being-activity-mood). Results. During 6 months of observation, there was no significant change in the body mass index, waist circumference, and hips, and the drug did not affect the blood pressure numbers. Against the background of taking the drug, there was an increase in the parameters of iron metabolism (hemoglobin content, serum iron). After 3 months of taking the contraceptive with drospirenone, the number of patients with a complaint about the abundance of menstruation decreased more than twofold (from 22.8 to 10.5%), and after 6 months of taking the drug no patient noted the profuse nature of menstruation. Before the start of taking COC with drospirenone, 57.9% of women reported painful menstrual bleeding. Against the background of taking the contraceptive within 3 months, this complaint was stopped in all patients. Sufficient efficacy of treatment of androgen dependent dermopathy in young women with the help of a microdosed drospirenone-containing combined oral contraceptive is estimated from the dermatological acne index. The analysis of the SAN questionnaire made it possible to reveal the improvement in the psychoemotional state of patients on the background of taking the drug. The conclusion. The results obtained proved the effectiveness and safety of the microclinized COC Dimia®. The drug has no significant effect on body weight, blood pressure, provides reliable control of the cycle and a decrease in menstrual bleeding, which results in stabilization of iron metabolism in the body. Dimia® is effective in the treatment of androgen-dependent dermopathy and can be recommended to young women for starting contraception.

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