Data Driven Processing Via Two-Dimensional Spearman Correlation Analysis (2D-SCA)

2019 ◽  
Author(s):  
Muhammad Saddam Khokhar ◽  
Keyang Cheng ◽  
Misbah Ayoub ◽  
Zakria ◽  
Nida E Rub
Keyword(s):  
Correlation Analysis ◽  
Data Driven ◽  
Two Dimensional ◽  
Spearman Correlation

Expression Levels of MicroRNA-125b in Serum Exosomes of Patients with Asthma of Different Severity and its Diagnostic Significance

2019 ◽  
Vol 20 (10) ◽  
pp. 781-784 ◽  
Author(s):  
Meizhen Zhao ◽  
Li Juanjuan ◽  
Fan Weijia ◽  
Xie Jing ◽  
Huang Qiuhua ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Roc Curve ◽  
Quantitative Polymerase Chain Reaction ◽  
Persistent Asthma ◽  
Asthma Severity ◽  
Control Group ◽  
Spearman Correlation ◽  
Diagnostic Efficacy ◽  
Expression Levels ◽  
Serum Exosomes

Background: This study aimed to investigate the expression levels of microRNA (miRNA)-125b in serum exosomes and its diagnostic efficacy for asthma severity. Methods: The study included 80 patients with untreated asthma and 80 healthy volunteers. The patients were divided into 4 groups according to disease severity: 20 with the intermittent state, 20 with the mildly persistent state, 20 with the moderately persistent state, and 20 with the severely persistent state. The expression levels of miRNA-125b in serum exosomes of each group were detected using a quantitative polymerase chain reaction and compared. The Spearman correlation analysis was used to study the correlation between the expression levels of miRNA-125b in serum exosomes and asthma severity. The diagnostic efficacy of the expression levels of miRNA-125b in exosomes for asthma severity was evaluated using the Receiver Operating Characteristic (ROC) curve. Results: The expression levels of miRNA-125b in serum exosomes of patients with intermittent, mildly persistent, moderately persistent, and severely persistent asthma were all higher than those in the healthy control group, with statistically significant differences. The expression levels of miRNA-125b were also statistically significantly different among patients in each group. The Spearman correlation analysis showed a positive correlation of the relative expression of miRNA-125b in serum exosomes with asthma severity. The area under the ROC curve of the diagnostic efficacy of miRNA-125b in serum exosomes for patients with intermittent, mildly, moderately, and severely persistent asthma was 0.7770, 0.8573, 0.9111, and 0.9995, respectively. Conclusion: The expression levels of miRNA-125b in serum exosomes had a high diagnostic efficacy and might serve as a noninvasive diagnostic marker for asthma severity.

scholarly journals Features of Cross-Correlation Analysis in a Data-Driven Approach for Structural Damage Assessment

Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1571 ◽  
Author(s):  
Jhonatan Camacho Navarro ◽  
Magda Ruiz ◽  
Rodolfo Villamizar ◽  
Luis Mujica ◽  
Jabid Quiroga
Keyword(s):  
Correlation Analysis ◽  
Damage Assessment ◽  
Structural Damage ◽  
Cross Correlation ◽  
Data Driven ◽  
Cross Correlation Analysis ◽  
Data Driven Approach

scholarly journals Data-driven studies of magnetic two-dimensional materials

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Trevor David Rhone ◽  
Wei Chen ◽  
Shaan Desai ◽  
Steven B. Torrisi ◽  
Daniel T. Larson ◽  
...  
Keyword(s):  
Machine Learning ◽  
Dft Calculations ◽  
Density Functional ◽  
Magnetic Coupling ◽  
Magnetic Ordering ◽  
Magnetic Behavior ◽  
Data Driven ◽  
Two Dimensional ◽  
Computationally Efficient ◽  
Data Driven Approach

Abstract We use a data-driven approach to study the magnetic and thermodynamic properties of van der Waals (vdW) layered materials. We investigate monolayers of the form $$\hbox {A}_2\hbox {B}_2\hbox {X}_6$$ A 2 B 2 X 6 , based on the known material $$\hbox {Cr}_2\hbox {Ge}_2\hbox {Te}_6$$ Cr 2 Ge 2 Te 6 , using density functional theory (DFT) calculations and machine learning methods to determine their magnetic properties, such as magnetic order and magnetic moment. We also examine formation energies and use them as a proxy for chemical stability. We show that machine learning tools, combined with DFT calculations, can provide a computationally efficient means to predict properties of such two-dimensional (2D) magnetic materials. Our data analytics approach provides insights into the microscopic origins of magnetic ordering in these systems. For instance, we find that the X site strongly affects the magnetic coupling between neighboring A sites, which drives the magnetic ordering. Our approach opens new ways for rapid discovery of chemically stable vdW materials that exhibit magnetic behavior.

scholarly journals Clinical profiles, outcomes and risk factors among type 2 diabetic inpatients with diabetic ketoacidosis and hyperglycemic hyperosmolar state: a hospital-based analysis over a 6-year period

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiao-yan Wu ◽  
Dun-min She ◽  
Fang Wang ◽  
Gang Guo ◽  
Ran Li ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Diabetic Ketoacidosis ◽  
Protective Factor ◽  
Diabetic Patients ◽  
Spearman Correlation ◽  
C Peptide ◽  
Arterial Blood ◽  
Hyperglycemic Hyperosmolar State ◽  
Type 2 Diabetic

Abstract Objective Diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS) are the two most common hyperglycemic emergencies (HEs) associated with diabetes mellitus. Individuals with HEs can present with combined features of DKA and HHS. The objective of this study is to assess the clinical characteristics, therapeutic outcomes, and associated predisposing factors of type 2 diabetic patients with isolated or combined HEs in China. Methods We performed a retrospective analysis of 158 patients with type 2 diabetes (T2DM), complicated with DKA, HHS, or DKA combined with HHS (DKA-HHS) in Shanghai Tongji Hospital, China from 2010 to 2015. Admission clinical features, therapeutic approaches and treatment outcomes of those patients were extracted and analyzed. Results Of the 158 patients with T2DM, 65 (41.1%) patients were DKA, 74 (46.8%) were HHS, and 19 (12.0%) were DKA-HHS. The most common precipitants were infections (111, 70.3%), newly diagnosed diabetes (28,17.7%) and non-compliance to medications (9, 5.7%). DKA patients were divided into mild, moderate and severe group, based on arterial blood gas. Spearman correlation analysis revealed that C-reaction protein (CRP) was positively correlated with severity of DKA, whereas age and fasting C peptide were inversely correlated with severity of DKA (P < 0.05). The mortality was 10.8% (17/158) in total and 21.6% (16/74) in the HHS group, 5.9% (1/17) in DKA-HHS. Spearman correlation analysis indicated that death in patients with HHS was positively correlated to effective plasma osmolality (EPO), renal function indicators and hepatic enzymes, while inversely associated with the continuous subcutaneous insulin infusion (CSII) therapy. Logistic regression analysis suggested that elevated blood urea nitrogen (BUN) on admission was an independent predisposing factor of mortality in HHS, while CSII might be a protective factor for patients with HHS. Furthermore, the receiver-operating characteristic (ROC) curve analysis indicated that BUN had the largest area under the ROC curves for predicting death in patients with HHS. Conclusions Our findings showed elevated CRP and decreased fasting C-peptide might serve as indicator for severe DKA. Elevated BUN might be an independent predictor of mortality in patients with HHS, whereas CSII might be a protective factor against death in HHS.

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