Risk assessment for health insurance using equation modeling and machine learning

2021 ◽  
Vol 25 (2) ◽  
pp. 201-225
Author(s):  
Amrik Singh ◽  
K.R. Ramkumar
Keyword(s):  
Machine Learning ◽  
Health Insurance ◽  
Risk Analysis ◽  
Real Life ◽  
Equation Model ◽  
Least Square ◽  
Parameter Analysis ◽  
Risk Indicators ◽  
Equation Modeling ◽  
Pairwise Correlation

Due to the advancement of medical sensor technologies new vectors can be added to the health insurance packages. Such medical sensors can help the health as well as the insurance sector to construct mathematical risk equation models with parameters that can map the real-life risk conditions. In this paper parameter analysis in terms of medical relevancy as well in terms of correlation has been done. Considering it as ‘inverse problem’ the mathematical relationship has been found and are tested against the ground truth between the risk indicators. The pairwise correlation analysis gives a stable mathematical equation model can be used for health risk analysis. The equation gives coefficient values from which classification regarding health insurance risk can be derived and quantified. The Logistic Regression equation model gives the maximum accuracy (86.32%) among the Ridge Bayesian and Ordinary Least Square algorithms. Machine learning algorithm based risk analysis approach was formulated and the series of experiments show that K-Nearest Neighbor classifier has the highest accuracy of 93.21% to do risk classification.

scholarly journals THE IMPACT OF PERSONAL PRODUCTIVITY DUE TO THE ATTACKS OF CORONAVIRUS DISEASE 2019: USING PARTIAL LEAST STRUCTURAL EQUATION MODEL

2020 ◽  
pp. 1-4
Author(s):  
SHEKH ABDULLAH-AL-MUSA AHMED ◽  
NIK ZULKARNAEN BIN KHIDZIR ◽  
SHIRIN AFROZ
Keyword(s):  
Structural Equation ◽  
Influence Factor ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Dependent Variables ◽  
Independent Variable ◽  
Personal Productivity ◽  
The Impact

Global coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was first identified in December 2019 in Wuhan, the capital of China’s Hubei Province, and has since spread globally, resulting in the ongoing 2019–2020 coronavirus pandemic that has an impact which would be disturbed the personal productivity in the community. The dependent variable which is threat of COVID-19 (Thr_Cov-19), vulnerability of COVID-19 (Vul_Cov-19), and the unexpected change in society factors and one independent variable that is personal disturbance factors is used in this paper. Moreover, using as an indicator which will determine disturbance of personal productivity (D_PP) in the society. Since multiple regression by partial least square-structural equation modeling is used to examined of data by following unstructured method. Moreover, the resulting point out three dependent variables significantly influences on the independent variable of personal productivity in the society. As a matter of fact, this study concludes the foremost influence factor on D_PP in society due to COVID-19 risk factors such as Thr_Cov-19, Vul_Cov-19, and unexpected changed in the society factors. This study contributes to introductory study but vibrant understanding in stimulating the prediction of personal productivity in the society due to the COVID-19 attacks.

scholarly journals THE ROLE OF LEARNERS’ TEST PERCEPTION IN CHANGING ENGLISH LEARNING PRACTICES: A CASE OF A HIGH-STAKES ENGLISH TEST AT VIETNAM NATIONAL UNIVERSITY, HANOI

2020 ◽  
Vol 35 (6) ◽  
Author(s):  
Nguyen Thuy Lan ◽  
Nguyen Thuy Nga
Keyword(s):  
Factor Analysis ◽  
Language Learning ◽  
Structural Equation ◽  
Real Life ◽  
Foreign Language Learning ◽  
Equation Model ◽  
Equation Modeling ◽  
High Stakes ◽  
Learning Content ◽  
National University

Among various factors influencing foreign language learning, learners’ perception of a high-stakes language test plays a crucial part, especially when the test serves as a threshold for their university graduation.  In this study, the researcher tested a washback effect model by focusing on test-takers’ perception of the high-stakes test VSTEP in terms of test familiarity, test difficulty and test importance. On a sample of 751 Vietnamese learners of English at Vietnam National University, structural equation model was employed to validate the conceptual model. The analytical methods of Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were used for analysis. Our empirical findings revealed that VSTEP seems to have had a pervasive impact on the participating students. Senior students’ evaluations of VSTEP acted as the largest factor in constituting the participants’ perception of VSTEP. There are positive links between test pressure and test familiarity with students' goal setting and study planning as well as their selection of learning content and materials. Meanwhile, the pressure from the test had no effect on students’ seeking opportunities to practice with foreigners, and test familiarity did not influence students’ choice of study methods and exam preparing strategies. The emerging patterns from the data also suggested that participating students preferred test-oriented learning content and activities at the cost of interactive English practices for real-life purposes.

Electric Vehicle Operating Characteristics Analysis Based on Structural Equation Model

2013 ◽  
Vol 278-280 ◽  
pp. 202-206
Author(s):  
Ming Yu Zhao ◽  
Ying Hui Wang ◽  
Zhi Yuan Lu ◽  
Wei Guo Zhang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Structural Equation ◽  
Least Square Method ◽  
Equation Model ◽  
Least Square ◽  
Equation Modeling ◽  
Operating Characteristics ◽  
Factors Affecting ◽  
Characteristics Analysis

Through research of user activity characteristics of the user's social attributes of electric vehicles, electric vehicles, electric vehicles performance and electric vehicles running environment, this paper puts forward electric vehicle running characteristics model, specificly select factors affecting variables, uses structural equation modeling on operating characteristics of the electric vehicle, uses AMOS6.0 software for solve and data fitting adoping least square method, finally gives credible analysis results.

scholarly journals THE OPTIMIZATION OF EMPLOYEE PERFORMANCE IMPROVEMENT REVIEWED FROM THE PERSPECTIVES OF PERFORMANCE ALLOWANCES, WORK MOTIVATION, AND WORK DISCIPLINE IN THE LPD BANYUNING, LPD LUMBANAN, LPD PADANG BULIA, LPD SARI MEKAR

2020 ◽  
Vol 6 (1) ◽  
pp. 94
Author(s):  
Luh Kartika Ningsih ◽  
Ni Luh Putu Eka Yudi Prastiwi ◽  
AAN Eddy Supriyadinata Gorda
Keyword(s):  
Performance Improvement ◽  
Structural Equation ◽  
Work Motivation ◽  
Employee Performance ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Analysis Technique ◽  
The Impact

The purpose of this study was to find out how to Improve Employee Performance reviewed from the Perspectives of Performance Allowances, Work Motivation, and Work Discipline in the LPD Banyuning, LPD Lumbanan, LPD Padang Bulia, LPD Sari Mekar. This study used a quantitative approach. The data analysis technique used in the structural equation model (Structural Equation Modeling-SEM) was based on variance or component based SEM, which is famously called Partial Least Square (PLS) Visual version 3.0. All relationships examined showed positive and significant results. For this reason, in its realization, the LPD Banyuning, LPD Lumbanan, LPD Padang Bulia, LPD Sari Mekar were expected to be able to improve the performance of the Employees with the Performance Allowances. The realization of employee performance, this is also the impact of the existence of Work Motivation, Performance Allowances, and Work Discipline that will have an impact on improving employee performance in the LPD Banyuning, LPD Lumbanan, LPD Padang Bulia, LPD Sari Mekar.

scholarly journals Analysis of Millennial Generation Behavior in Consuming Halal Products: Structural Equation Model-Partial Least Square (SEM-PLS) Method

2019 ◽  
Vol 12 (2) ◽  
pp. 266
Author(s):  
Ahmad Zaenal Arifin ◽  
Annisa Nur Salam
Keyword(s):  
Structural Equation Modeling ◽  
Millennial Generation ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Business Opportunity ◽  
Digital Era ◽  
Pls Method

<pre> </pre><pre><em>The elevated demand of Muslim consumers for halal products is a business opportunity for producers or companies. So that attention to consumer behavior of halal products is part of market valuation that is important for achieving success in the halal industry. Meanwhile, the millennial generation will have an influence in determining the trend of product use especially since entering the digital era. So it is important to conduct further studies on the behavior of the millennial generation in consuming halal products. This research was conducted by collecting data through distributing questionnaires to 100 respondents classified as millennial generation. Then the data collected is processed with Structural Equation Modeling-Partial Least Square (SEM-PLS) and gives conclusion that the interest of millennial generation in buying halal products is influenced by Islamic branding and individual religiosity factors. While the satisfaction of the millennial generation in consuming halal products is influenced by the price factor of these products, Islamic branding and religiosity factors. Furthermore, Islamic branding indirectly influences the buying interest and satisfaction of the millennial generation in consuming halal products through a variable mediating religiosity. Therefore, Islamic branding is an urgent matter that must be fulfilled for companies that have a focus on the development of halal industrial.</em></pre><pre><em> </em></pre>

scholarly journals The Key Success Female Entrepreneurs Batik Jonegoro in Indonesia

2018 ◽  
Vol 9 (2) ◽  
pp. 67
Author(s):  
Nur Laily ◽  
Dewi Urip Wahyuni
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovative Behavior ◽  
Sample Collection ◽  
Female Entrepreneurs

The success of female entrepreneurs Batik need hard work, self-efficacy, innovation and ambition behavior. The purpose of this research is to find out the role of self-efficacy and innovative behavior towards the success of female entrepreneurs Batik in Bojonegoro. This research uses descriptive and quantitative analysis research design. The population in this research are all female batik entrepreneur in Bojonegoro. The sample collection technique has been carried out by using non-probability sampling in which samples are determined based on certain criteria in accordance with the research purpose. The numbers of samples are 32 respondents. The Data collection techniques has been done by using questionnaires and conducting interviews. The obtained data are analyzed by using Partial Least Square (PLS) which is the equation model of Structural Equation Modeling (SEM) which is based on components or variants. The results of the research show that: self efficacy gives influence to the success of female batik entrepreneurs. Self-efficacy gives influence to the innovative behavior of female batik entrepreneur. Innovative behavior gives influence to the success of female batik entrepreneurs, Self-efficacy gives indirect influence to the success of female entrepreneurs through the mediator i.e. innovative behavior.

scholarly journals Structural equation modeling on the post-flood regional public welfare in South Kalimantan

2021 ◽  
Vol 2106 (1) ◽  
pp. 012012
Author(s):  
W A A Sur ◽  
I S Machfiroh ◽  
R Nurmalina
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Least Square ◽  
Public Welfare ◽  
Equation Modeling ◽  
The People ◽  
Final Interpretation ◽  
Economy Condition ◽  
Data Collection Technique

Abstract This research was conducted to know the structural equation model on public welfare in the post-flood region of South Kalimantan in early 2021. The method and analysis in this study used Structural Equation Model (SEM) with compared the Maximum Likelihood (ML) and Generalized Least Square (GLS) approach to test and estimate the suitability of the post-flood public welfare model in South Kalimantan. The data collection technique in this study used a questionnaire to the people in areas victims of floods in South Kalimantan. The result is GLS approach gave more fit data than MLE based on AGFI and GFI values. The validated models gave the structural equation model with the final interpretation is Economy condition gives the significant relationship to the post-flood public welfare in South Kalimantan.

The Influence of Leadership Style, Work Environment on Job Satisfaction and Employee Performance at PT. Khrisna Multi Lintas Cemerlang

2018 ◽  
Vol 9 (03) ◽  
pp. 20544-20552
Author(s):  
Ni Putu Rista Kusumadewi ◽  
I Nengah Sudja ◽  
I Wayan Sujana
Keyword(s):  
Job Satisfaction ◽  
Work Environment ◽  
Leadership Style ◽  
Structural Equation ◽  
Employee Performance ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
High Knowledge ◽  
Research Population

This study aims to examine and analyze the relationship between leadership style, work environment, job satisfaction and employee performance. This research was conducted at PT. Khrisna Multi Lintas Cemerlang with the research population were all employees who work in the company. All data obtained from questionnaires were suitable for use, then were analyzed by using structural equation model based on variant analysis which is known as Partial Least Square (PLS). The result of this research shows that the leadership style has positive and significant effect on employee performance, the work environment has positive and significant effect on employee performance, the leadership style has positive and significant effect on job satisfaction, the work environment has positive and significant effect on job satisfaction and job satisfaction has positive and significant on employee performance. The implication of this research was that the leadership needs to give freedom to subordinate to express their opinions, the workplace air temperature was well regulated, the work that was charged according to the ability and expertise, always guided by the company standard in carrying out each task and the employee has high knowledge in solving problem

Effect of Motivation to Employee Performance which was Mediatied by Work Satisfaction in PT Smailing Tour Denpasar

2018 ◽  
Vol 9 (08) ◽  
pp. 20959-20973
Author(s):  
Benediktus Ignasius Tani Raka ◽  
Anik Yuesti ◽  
Nengah Landra
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Employee Performance ◽  
Work Satisfaction ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Pls Analysis ◽  
Permanent Employees

This study aims is to test and analyze the influence of motivation on employee performance mediated by job satisfaction. This research was conducted at PT Smailing Tour Denpasar with population and research sample of all permanent employees that is 90 people. All data obtained from the kuisoner distribution is feasible to be used, then analyzed using a variance based structural equation model known as Partial Least Square (PLS) analysis. The result of the research shows that (1) the motivation has positive and significant effect on the employee's performance, (2) the motivation has positive and significant effect on the job satisfaction, (3) the job satisfaction has positive and significant effect to the employee's performance; (4) the motivation has positive and significant effect on employee performance through job satisfaction. The implication of this research is that motivation can be improved by taking into account the need for workplace environment to improve employee performance, job satisfaction can be improved by paying attention to the work itself in order to increase employee performance. Employee performance can be improved by taking into account the effectiveness of employees.

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