scholarly journals Mobile Phone User Behavior Prediction Base on Multivariable Linear Regression Model

2019 ◽  
Author(s):  
Qing YANG ◽  
Pei-ling YUAN ◽  
Qing ZHANG ◽  
Shi-jue ZHENG
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Mobile Phone ◽  
Linear Regression Model ◽  
User Behavior ◽  
Behavior Prediction ◽  
Multivariable Linear Regression Model ◽  
Mobile Phone User ◽  
Phone User

scholarly journals Comparison between complication rates of laser prostatectomy electrocautery transurethral resection of the prostate: A population-based study

2014 ◽  
Vol 8 (5-6) ◽  
pp. 419 ◽  
Author(s):  
Alexandre Larouche ◽  
Andreas Becker ◽  
Jonas Schiffmann ◽  
Florian Roghmann ◽  
Giorgio Gandaglia ◽  
...  
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Transurethral Resection ◽  
Linear Regression Model ◽  
High Volume ◽  
Patient Characteristics ◽  
Population Based ◽  
Complication Rates ◽  
Prostate Hyperplasia ◽  
Multivariable Linear Regression Model

Introduction: We compare the complication rates and length of stay (LOS) of laser transurethral resection of the prostate (L-TURP) versus electrocautery transurethral resection of the prostate (E-TURP) in a population-based cohort. L-TURP has shown enhanced intraoperative safety and equivalent efficacy relative to E-TURP in several high volume centres.Methods: Relying on the Florida Datafile as part of the Healthcare Cost and Utilization Project State Inpatient Databases (SID) between 2006 and 2008, we identified 8066 men with benign prostate hyperplasia who underwent L-TURP or E-TURP. Chi-square and Mann-Whitney tests were used to compare baseline characteristics. A multivariable linear regression model was used to analyze the effect of L-TURP versus E-TURP on complication rates and LOS.Results: Overall complication rates did not differ significantly for L-TURP compared to E-TURP in univariable (8.8 vs. 7.4%, p = 0.1) and multivariable analyses (odds ratio [OR]: 1.06, confidence interval [CI]: 0.85-1.32, p = 0.6). Individuals undergoing E-TURP were less likely to experience a LOS in excess of 1 day (46.2 vs. 59.7%, p < 0.001). A lower risk to experience a LOS in excess of 1 day was confirmed for patients undergoing L-TURP after a multivariable linear regression model (OR: 0.37, CI: 0.23-0.58, p < 0.001), but not for a LOS in excess of 2 days (OR: 0.96, CI: 0.83-1.10, p = 0.2).Conclusions: Patient characteristics and perioperative safety were similar for L-TURP and E-TURP patients. However, LOS patterns demonstrated a modest benefit for L-TURP compared to E-TURP patients.

scholarly journals Multivariable Regression Equivalent Model of Interconnected Active Distribution Networks Based on Boundary Measurement

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2339
Author(s):  
Zhang ◽  
Huang ◽  
Yang ◽  
Li
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Distribution Network ◽  
Distribution Networks ◽  
Equivalent Model ◽  
Boundary Node ◽  
Technical Problems ◽  
Multivariable Linear Regression Model ◽  
Multivariable Regression

With the increasing complexity of the active distribution network (ADN) due to distributed generation (DG) integration, together with the electricity market evolution, the traditional ADN is divided into multiple areas to operate independently. Due to technical problems or business privacy, the internal network regional control center cannot grasp the changes of the external regional network in time. In order to accurately reflect the distribution network operation state, a multivariable regression equivalent model is proposed in this paper. Firstly, the external network is made equivalent to a multi-port Norton model. The multivariable linear regression model is then derived based on the equivalent distribution network, and the regression model variables are constructed using boundary node information collected by the measurement equipment. Finally, the maximum likelihood estimation (MLE) is used to estimate the parameters of the multivariable linear regression model. Furthermore, case studies demonstrate the effectiveness and robustness of the proposed method, and detailed information of external ADN is unnecessary, except for the boundary node information. The proposed method can also be applied for three-phase unbalanced ADN efficiently.

scholarly journals Impact of national policy on hand hygiene promotion activities in hospitals in Korea

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Pyoeng Gyun Choe ◽  
Jihee Lim ◽  
Eun Jin Kim ◽  
Jeong Hee Kim ◽  
Myoung Jin Shin ◽  
...  
Keyword(s):  
Linear Regression ◽  
Hand Hygiene ◽  
Infection Control ◽  
Regression Model ◽  
Linear Regression Model ◽  
National Policy ◽  
Cross Sectional ◽  
Multivariable Linear Regression Model ◽  
Hygiene Promotion ◽  
The Government

Abstract Background After the Middle East respiratory syndrome coronavirus outbreak in Korea in 2015, the Government established a strategy for infection prevention to encourage infection control activities in hospitals. The new policy was announced in December 2015 and implemented in September 2016. The aim of this study is to evaluate how infection control activities improved within Korean hospitals after the change in government policy. Methods Three cross-sectional surveys using the WHO Hand Hygiene Self-Assessment Framework (HHSAF) were conducted in 2013, 2015, and 2017. Using a multivariable linear regression model, we analyzed the change in total HHSAF score according to survey year. Results A total of 32 hospitals participated in the survey in 2013, 52 in 2015, and 101 in 2017. The number of inpatient beds per infection control professionals decreased from 324 in 2013 to 303 in 2015 and 179 in 2017. Most hospitals were at intermediate or advanced levels of progress (90.6% in 2013, 86.6% in 2015, and 94.1% in 2017). In the multivariable linear regression model, total HHSAF score was significantly associated with hospital teaching status (β coefficient of major teaching hospital, 52.6; 95% confidence interval [CI], 8.9 to 96.4; P = 0.018), beds size (β coefficient of 100 beds increase, 5.1; 95% CI, 0.3 to 9.8; P = 0.038), and survey time (β coefficient of 2017 survey, 45.1; 95% CI, 19.3 to 70.9; P = 0.001). Conclusions After the new national policy was implemented, the number of infection control professionals increased, and hand hygiene promotion activities were strengthened across Korean hospitals.

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