Risk assessment of the individual housing loans by Grey Data Mining based on AHP-GRAP

2013 ◽  
Author(s):  
Size Li ◽  
Yuanyuan Shi ◽  
Zhangdui Zhong ◽  
Gang Zhu ◽  
Bo Ai
Keyword(s):  
Data Mining ◽  
Risk Assessment ◽  
Individual Housing ◽  
The Individual

scholarly journals Financial and Labor Benefits of the Individual TB Risk Assessment Model for Annual TB Screening

2020 ◽  
Vol 41 (S1) ◽  
pp. s234-s234
Author(s):  
Kristin Sims ◽  
Roger Stienecker
Keyword(s):  
Risk Assessment ◽  
Health Care ◽  
Assessment Model ◽  
Health Care Personnel ◽  
Individual Risk ◽  
Tuberculosis Screening ◽  
Hospital System ◽  
National Tuberculosis ◽  
The Individual ◽  
The Cost

Background: Since 1991, US tuberculosis (TB) rates have declined, including among health care personnel (HCP). Non–US born persons accounted for approximately two-thirds of cases. Serial TB testing has limitations in populations at low risk; it is expensive and labor intensive. Method: We moved a large hospital system from facility-level risk stratification to an individual risk model to guide TB screening based on Tuberculosis Screening, Testing, and Treatment of US Health Care Personnel: Recommendations from the National Tuberculosis Controllers Association and CDC, 2019. This process included individual TB risk assessment, symptom evaluation, TB testing for M. tuberculosis infection (by either IGRA or TST) for HCP without documented evidence of prior LTBI or TB disease, with an additional workup for TB disease for HCP with positive test results or symptoms compatible with TB disease. In addition, employees with specific job codes deemed high risk were required to undergo TB screening. Result: In 2018, this hospital system of ~10,000 employees screened 7,556 HCP for TB at a cost of $348,625. In 2019, the cost of the T Spot test increased from $45 to $100 and the cost of screening 5,754 HCP through October 31, 2019, was $543,057. In 2020, it is anticipated that 755 HCP will be screened, saving the hospital an estimated minimum of $467,557. The labor burden associated with employee health personnel will fall from ~629.66 hours to 62.91 hours. The labor burden associated with pulling HCPs from the bedside to be screened will be reduced from 629.66 hours to 62.91 hours as well. Conclusion: Adoption of the individual risk assessment model for TB screening based on Tuberculosis Screening, Testing, and Treatment of US Health Care Personnel: Recommendations from the National Tuberculosis Controllers Association and CDC, 2019 will greatly reduce financial and labor burdens in healthcare settings when implemented.Funding: NoneDisclosures: None

A Data Mining Approach for Risk Assessment in Car Insurance

2014 ◽  
Vol 5 (3) ◽  
pp. 11-28
Author(s):  
Ljiljana Kašćelan ◽  
Vladimir Kašćelan ◽  
Milijana Novović-Burić
Keyword(s):  
Data Mining ◽  
Risk Assessment ◽  
Risk Premium ◽  
Study Data ◽  
Functional Dependencies ◽  
Standard Methods ◽  
Data Mining Techniques ◽  
Data Mining Approach ◽  
The One ◽  
Car Insurance

This paper has proposed a data mining approach for risk assessment in car insurance. Standard methods imply classification of policies to great number of tariff classes and assessment of risk on basis of them. With application of data mining techniques, it is possible to get functional dependencies between the level of risk and risk factors as well as better results in predictions. On the case study data it has been proved that data mining techniques can, with better accuracy than the standard methods, predict claim sizes and occurrence of claims, and this represents the basis for calculation of net risk premium and risk classification. This paper, also, discusses advantages of data mining methods compared to standard methods for risk assessment in car insurance, as well as the specificities of the obtained results due to small insurance market, such is the one in Montenegro.

scholarly journals Chemical monitoring of Swedish coastal waters indicates common exceedances of environmental thresholds, both for individual substances as well as their mixtures

2017 ◽  
Author(s):  
Mikael B Gustavsson ◽  
Jörgen Magnér ◽  
Bethanie Carney Almroth ◽  
Martin K Eriksson ◽  
Joachim Sturve ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Concentration Addition ◽  
Chemical Pollution ◽  
Chemical Contamination ◽  
Total Risk ◽  
Environmental Chemical ◽  
Swedish West Coast ◽  
Chemical Monitoring ◽  
Chemical Risk Assessment ◽  
The Individual

Chemical pollution was monitored and assessed along the Swedish west coast. 62 of 172 analyzed organic chemicals were detected in the water phase of at least one of five monitored sites. A Concentration Addition based screening-level risk assessment indicates that all sites are put at risk from chemical contamination, with total risk quotients between 2 and 9. Only at one site did none of the individual chemicals exceeded its individual environmental threshold (PNEC, EQS). The monitoring data thus demonstrate a widespread blanket of diffuse pollution, with no clear trends amongst sites. Further issues critical for the environmental chemical risk assessment include the challenges to achieve sufficiently low levels of detection especially for hormones and cybermethrin (a pyrethroid insecticide), the appropriate consideration of non-detects and the limited availability of reliable PNECs and EQS values.

scholarly journals Predicting Detached Housing Vacancy: A Multilevel Analysis

2022 ◽  
Vol 14 (2) ◽  
pp. 922
Author(s):  
Jaekyung Lee ◽  
Galen Newman ◽  
Changyeon Lee
Keyword(s):  
Multilevel Model ◽  
Local Environment ◽  
Critical Issue ◽  
Building Structure ◽  
Model Design ◽  
Vacancy Rate ◽  
City Center ◽  
Individual Housing ◽  
The Individual ◽  
Housing Vacancy

Urban shrinkage is a critical issue in local small- and medium-sized cities in Korea. While there have been several studies to analyze the causes and consequences of vacancy increases, most have only focused on socioeconomic associations at larger scale and failed to consider individual housing level characteristics, primarily due to a lack of appropriate data. Based on data including 52,400 individual parcels, this study analyzes the primary contributors to vacant properties and their spatial distribution through a multilevel model design based on data for each parcel. Then, we identify areas at high risk of vacancy in the future to provide evidence to establish policies for improving the local environment. Results indicate that construction year, building structure, and road access conditions have a significant effect on vacant properties at the individual parcel level, and the presence of schools and hypermarket within 500 m are found to decrease vacant properties. Further, prediction outcomes show that the aged city center and areas with strict regulations on land use are expected to have a higher vacancy rate. These findings are used to provide a set of data-based revitalization strategies through the development of a vacancy prediction model.

scholarly journals The place of artificial intelligence in the risk management process

2021 ◽  
Vol 120 ◽  
pp. 02013
Author(s):  
Petya Biolcheva
Keyword(s):  
Artificial Intelligence ◽  
Risk Assessment ◽  
Risk Management ◽  
Real Time ◽  
Risk Identification ◽  
Management Process ◽  
Whole Process ◽  
Risk Management Process ◽  
Problematic Issue ◽  
The Individual

In recent years, there has been increasing talk of the rapid entry of artificial intelligence into risk management. All the benefits it would bring over the whole process are often commented on: real-time results, processing large amounts of data, more complete risk identification, more accurate risk assessment, etc. There are also negative moods that make various experts feel threatened by their need to be replaced by artificial intelligence. Another problematic issue that arises is related to the transparency of algorithms and the increase in cyber risks [6]. This material aims to identify the individual elements at the stages of risk management in which artificial intelligence (AI) can and should be applied alone, in combination with expert opinion or not. Here it is shown that because of the use of AI the efficiency of the whole process is significantly increased, first of all by conducting in-depth analyses, and the decisions are made by the risk management experts. This proves its usefulness and increases the confidence of experts in it.

scholarly journals Risk in the scope of research and innovative technological projects

2020 ◽  
pp. 58-67
Author(s):  
Rafał Hubicki ◽  
Maria Richert ◽  
Piotr Łebkowski ◽  
Joanna Kulczycka ◽  
Asja Mrotzek-Bloess
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Assessment Methods ◽  
Individual Risk ◽  
Fruitful Cooperation ◽  
Specific Factors ◽  
The Subject ◽  
The Individual ◽  
Risk Categories ◽  
Management Of Risk

Assessment and management of risk constitute the subject of many researches. Nevertheless, many more specific factors are applicable during the implementation of innovative technological projects. On the article identified risk factors, which have been supplemented, systematized and assigned to the individual risk categories. The risk assessment methods for R&D projects have been analysed, as well as the risk sheets have been developed for the R&D project through the use of dotProject application. Also shown that networking and clustering is a change for fruitful cooperation within difference EU projects, which create trust between business and sciences and reduce the risk.

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