Investigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods

2017 ◽  
Vol 4 ◽  
pp. 118-131 ◽  
Author(s):  
Dursun Delen ◽  
Leman Tomak ◽  
Kazim Topuz ◽  
Enes Eryarsoy
Keyword(s):  
Risk Factors ◽  
Sensitivity Analysis ◽  
Injury Severity ◽  
Predictive Analytics ◽  
Automobile Crashes ◽  
Analysis Methods

Research on Risk Management of Engineering Project Auction

2011 ◽  
Vol 219-220 ◽  
pp. 1523-1527
Author(s):  
De Bin Fang ◽  
Wen Liu
Keyword(s):  
Risk Factors ◽  
Sensitivity Analysis ◽  
Risk Management ◽  
Evaluation Model ◽  
Practical Significance ◽  
Principal Agent ◽  
Engineering Project ◽  
Analysis Methods

Project auction is an important principal-agent with competition. The uncertainty of market and incompleteness of bidders’ information bring a lot of risks for the project owner, so the research on risk management is of theoretical and practical significance. In this paper, risk factors are identified and measured, based on which, an evaluation model is built up, and then by sensitivity analysis, sensitive factors are found so as to help the owner take the corresponding measures. A case study illustrates that these analysis methods used in this paper are reasonable.

RISK FACTORS FOR THE DEVELOPMENT OF INITIAL MANIFESTATIONS OF ATHEROGENIC CARDIOVASCULAR DISEASES IN PERSONNEL OF CHEMICALLY HAZARDOUS FACILITIES

2017 ◽  
pp. 2-7 ◽  
Author(s):  
V. A. Gorichny ◽  
D. Yu. Serdukov ◽  
A. V. Yazenok ◽  
A. V. Nosov ◽  
G. G. Zagorodnikov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Statistical Analysis ◽  
Cardiovascular Diseases ◽  
Organophosphorus Compounds ◽  
Atherogenic Dyslipidemia ◽  
Chemical Weapons ◽  
Analysis Methods ◽  
High Incidence ◽  
And Control ◽  
Statistical Analysis Methods

An outpatient examination of 530 employees engaged in work with chemical weapons related to organophosphorus compounds at chemically hazardous facilities was carried out. Risk factors for the development of cardiovascular diseases of atherogenic etiology among personnel of the facilities were studied in relation to the type of work performed using statistical analysis methods. When assessing the lipidogram, a high incidence of atherogenic dyslipidemia in a group of personnel involved in the storage of chemical weapons was found out in comparison with a group of people engaged in the destruction and control of chemical weapons (73.1 vs 61.2 vs 59.6%, p

scholarly journals Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation

2007 ◽  
Vol 11 (2) ◽  
pp. 793-817 ◽  
Author(s):  
Y. Tang ◽  
P. Reed ◽  
T. Wagener ◽  
K. van Werkhoven
Keyword(s):  
Sensitivity Analysis ◽  
Model Identification ◽  
Local Analysis ◽  
Time Interval ◽  
Watershed Model ◽  
Soil Moisture Accounting ◽  
Analysis Methods ◽  
Accounting Model ◽  
Sobol’S Method ◽  
Comparative Results

Abstract. This study seeks to identify sensitivity tools that will advance our understanding of lumped hydrologic models for the purposes of model improvement, calibration efficiency and improved measurement schemes. Four sensitivity analysis methods were tested: (1) local analysis using parameter estimation software (PEST), (2) regional sensitivity analysis (RSA), (3) analysis of variance (ANOVA), and (4) Sobol's method. The methods' relative efficiencies and effectiveness have been analyzed and compared. These four sensitivity methods were applied to the lumped Sacramento soil moisture accounting model (SAC-SMA) coupled with SNOW-17. Results from this study characterize model sensitivities for two medium sized watersheds within the Juniata River Basin in Pennsylvania, USA. Comparative results for the 4 sensitivity methods are presented for a 3-year time series with 1 h, 6 h, and 24 h time intervals. The results of this study show that model parameter sensitivities are heavily impacted by the choice of analysis method as well as the model time interval. Differences between the two adjacent watersheds also suggest strong influences of local physical characteristics on the sensitivity methods' results. This study also contributes a comprehensive assessment of the repeatability, robustness, efficiency, and ease-of-implementation of the four sensitivity methods. Overall ANOVA and Sobol's method were shown to be superior to RSA and PEST. Relative to one another, ANOVA has reduced computational requirements and Sobol's method yielded more robust sensitivity rankings.

scholarly journals The Application and Implications of Novel Deterministic Sensitivity Analysis Methods

2020 ◽  
Vol 39 (1) ◽  
pp. 1-17
Author(s):  
Rick A. Vreman ◽  
Joost W. Geenen ◽  
Saskia Knies ◽  
Aukje K. Mantel-Teeuwisse ◽  
Hubert G. M. Leufkens ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Deterministic Sensitivity Analysis ◽  
Analysis Methods

A Sensitivity Analysis Based Method for Robot Calibration

1992 ◽  
Author(s):  
S. Kaizerman ◽  
B. Benhabib ◽  
R. G. Fenton ◽  
G. Zak
Keyword(s):  
Sensitivity Analysis ◽  
Kinematic Model ◽  
Calibration Procedure ◽  
Inverse Kinematic ◽  
Model Parameters ◽  
Robot Calibration ◽  
Adjoint Sensitivity ◽  
Analysis Methods ◽  
The Matrix ◽  
Direct Sensitivity

Abstract A new robot kinematic calibration procedure is presented. The parameters of the kinematic model are estimated through a relationship established between the deviations in the joint variables and the deviations in the model parameters. Thus, the new method can be classified as an inverse calibration procedure. Using suitable sensitivity analysis methods, the matrix of the partial derivatives of joint variables with respect to robot parameters is calculated without having explicit expressions of joint variables as a function of task space coordinates (closed inverse kinematic solution). This matrix provides the relationship between the changes in the joint variables and the changes in the parameter values required for the calibration. Two deterministic sensitivity analysis methods are applied, namely the Direct Sensitivity Approach and the Adjoint Sensitivity Method. The new calibration procedure was successfully tested by the simulated calibrations of a two degree of freedom revolute-joint planar manipulator.

Outcomes following non-life-threatening orthopaedic trauma: Why are they considered to be so poor?

Trauma ◽  
2016 ◽  
Vol 19 (2) ◽  
pp. 133-138
Author(s):  
Rachele Quested ◽  
Scott Sommerville ◽  
Michael Lutz
Keyword(s):  
Risk Factors ◽  
Injury Severity ◽  
Relevant Literature ◽  
Educational Status ◽  
External Source ◽  
Initial Assessment ◽  
Future Research ◽  
Orthopaedic Trauma ◽  
Passive Coping ◽  
Physical Consequences

The purpose of this review article is to assess the current literature on the outcomes of simple orthopaedic trauma. Simple trauma is defined as the fracture or injury of one limb due to an acute event. Fractures are the most common cause of hospitalized trauma in Australia and associated with multiple social, psychological and physical consequences for patients. The literature to date suggests that there are multiple factors leading to relatively poor outcomes following simple trauma, modifiable and non-modifiable. The most oft cited are older age, lower educational status, being injured at work, injury severity score, pre-existing disease, workers compensation, litigation and pain at initial assessment. Additional psychological risk factors quoted attribute to the injury to an external source and the use of passive coping strategies. This review aims to summarise the relevant literature relating to these risk factors and give direction to improving outcomes and future research into this important area.

Risk Factors Associated With Pressure Ulcers in Patients With Traumatic Brain Injury Admitted to the Intensive Care Unit

2021 ◽  
pp. 105477382110504
Author(s):  
Jeong Eun Yoon ◽  
Ok-Hee Cho
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Traumatic Brain Injury ◽  
Intensive Care ◽  
Brain Injury ◽  
Medical Records ◽  
Injury Severity ◽  
University Hospital ◽  
Factors Associated ◽  
Braden Scale

Pressure injuries (PIs) are one of the most important and frequent complications in patients admitted to the intensive care unit (ICU) or those with traumatic brain injury (TBI). The purpose of this study was to determine the incidence and risk factors of PIs in patients with TBI admitted to the ICU. In this retrospective study, the medical records of 237 patients with TBI admitted to the trauma ICU of a university hospital were examined. Demographic, trauma-related, and treatment-related characteristics of all the patients were evaluated from their records. The incidence of PIs was 13.9%, while the main risk factors were a higher injury severity score, use of mechanical ventilation, vasopressor infusion, lower Braden Scale score, fever, and period of enteral feeding. This study advances the nursing practice in the ICU by predicting the development of PIs and their characteristics in patients with TBI.

scholarly journals Crash risk factors associated with injury severity of teen drivers

2019 ◽  
Vol 43 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Venkata R. Duddu ◽  
Venu Madhav Kukkapalli ◽  
Srinivas S. Pulugurtha
Keyword(s):  
Risk Factors ◽  
Injury Severity ◽  
Crash Risk ◽  
Factors Associated ◽  
Teen Drivers

scholarly journals Predictive Analytics of In-Service Bridge Structural Performance from SHM Data Mining Perspective: A Case Study

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Qiwen Jin ◽  
Zheng Liu ◽  
Junchi Bin ◽  
Weixin Ren
Keyword(s):  
Data Mining ◽  
Performance Analysis ◽  
Early Warning ◽  
Predictive Analytics ◽  
Structural Response ◽  
Steel Tube ◽  
Structural Performance ◽  
Online Analysis ◽  
Analysis Methods ◽  
Load Tests

In-service bridge structural performance analysis and prediction are usually complicated and challenging because of many unknown and uncertain factors. Contrary to the traditional structural appearance inspections and load tests, structural health monitoring (SHM) can provide a perspective for online analysis, prediction, and early warning. So far, SHM has been widely used in many bridge structures, and a lot of bridge SHM data have also been collected. However, the existing studies usually focus on some independent and unsystematic analysis methods, which are hard to use widely in engineering applications to reveal the overall structural performance. This study focuses on the structural performance analysis and prediction of the highway in-service bridge. The dynamic problems in bridge SHM are pointed out firstly, followed by a detailed analysis about the characteristics of bridge SHM data. With the consideration of different characteristics, three targeted analysis methods are proposed. An urban concrete-filled steel tube (CFST) truss girder bridge (opened to traffic in 1995) is also presented, which once experienced some prominent vibration problems. The bridge SHM system is designed and stalled after several appearance inspections, load tests, and some reinforcement measures. The data mining methods proposed (distribution function, association analysis, and time-series analysis) are employed for the analysis and prediction of structural response and deterioration extent. This study can provide some references for maintenance and management and can also build a foundation for further online analysis and early warning.

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