scholarly journals PROBABILISTIC INFERENCE IN BAYESIAN INSURANCE NETWORK

2021 ◽  
Author(s):  
Ya. S. Bondarenko ◽  
D. O. Rachko ◽  
A. O. Rozlyvan
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Probabilistic Inference ◽  
Conditional Probabilities ◽  
Prediction Problem ◽  
Exact Inference ◽  
Elimination Algorithm ◽  
Variable Elimination ◽  
Financial Losses

In this paper, the technique to solve the prediction problem of reparation of the financial losses caused by a road traffic accident is solved. Exact inference is represented using the Sum-Product Variable Elimination algorithm, Sum-Product Variable Elimination algorithm for computing conditional probabilities, Max-Product Variable Elimination algorithm for MAP, Max-Sum-Product Variable Elimination algorithm for marginal MAP. Reasoning patterns are presented graphically and descriptively.

scholarly journals Exploiting Contextual Independence In Probabilistic Inference

2003 ◽  
Vol 18 ◽  
pp. 263-313 ◽  
Author(s):  
D. Poole ◽  
N. L. Zhang
Keyword(s):  
Network Inference ◽  
Probabilistic Inference ◽  
Internal Representation ◽  
Bayesian Belief Networks ◽  
Conditional Probabilities ◽  
Elimination Algorithm ◽  
Variable Elimination ◽  
Compact Representations ◽  
Analogous Algorithm ◽  
Independence Structure

Bayesian belief networks have grown to prominence because they provide compact representations for many problems for which probabilistic inference is appropriate, and there are algorithms to exploit this compactness. The next step is to allow compact representations of the conditional probabilities of a variable given its parents. In this paper we present such a representation that exploits contextual independence in terms of parent contexts; which variables act as parents may depend on the value of other variables. The internal representation is in terms of contextual factors (confactors) that is simply a pair of a context and a table. The algorithm, contextual variable elimination, is based on the standard variable elimination algorithm that eliminates the non-query variables in turn, but when eliminating a variable, the tables that need to be multiplied can depend on the context. This algorithm reduces to standard variable elimination when there is no contextual independence structure to exploit. We show how this can be much more efficient than variable elimination when there is structure to exploit. We explain why this new method can exploit more structure than previous methods for structured belief network inference and an analogous algorithm that uses trees.

Chest Trauma Evaluation and Outcome of Management in a Tertiary Hospital - One Year Experience

2020 ◽  
Vol 22 (2) ◽  
pp. 110-117
Author(s):  
Md Mahmudul Islam ◽  
Khondkar AK Azad ◽  
Md Aminul Islam ◽  
Rivu Raj Chakraborty
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Chest Trauma ◽  
Road Traffic ◽  
Tube Thoracostomy ◽  
Rib Fracture ◽  
Medical College Hospital ◽  
College Hospital ◽  
Medical College ◽  
The Mean

Background: Chest trauma is responsible for 50% of deaths due to trauma. This kind of death usually occurs immediately after the trauma has occurred. Various therapeutic options have been reported for management of chest injuries like clinical observation, thoracocentesis, tube thoracostomy and open thoracotomy. Objective: To observe the pattern and outcome of management in chest trauma Methods: This is an observational study carried out in Casualty department of Chittagong Medical College Hospital (CMCH), Chittagong, between April 2015 to March 2016. Our study was included all patients, both sexes, following chest injury at Casualty units of Chittagong Medical College Hospital. All the data were recorded through the preformed data collection sheet and analyzed. Result: The mean age was found 37.7±18.1 years with range from 12 to 80 years. Male female ratio was 11.8:1. The mean time elapsed after trauma was found 6.1±3.1 hours with range from 1 to 72 hours. Almost one third (35.7%) patients was affecting road traffic accident followed by 42(27.3%) assault, 35(22.7%) stab injury, 15(9.7%) fall and 7(4.5%) gun shot . More than three fourth (80.5%) patients were managed by tube thoracostomy followed by 28(18.2%) observation and 2(1.3%) ventilatory support. No thoracotomy was done in emergency department. 42(27.2%) patients was found open pneumothorax followed by 41(26.6%) rib fracture, 31(20.1%) haemopneumothorax, 14(9%) simple pneumothorax, 12(7.8%) haemothorax, 6(3.9%) chest wall injury, 5(3.2%) tension pneumothorax, and 3(1.9%) flail chest. About the side of tube 60(39.0%) patients were given tube on left side followed by 57(37.0%) patients on right side, 9(5.8%) patients on both (left & right) side and 28(18.2%) patients needed no tube. Regarding the complications, 13(30%) patients had persistent haemothorax followed by 12(29%)tubes were placed outside triangle of safety, 6(13.9%) tubes were kinked, 6(13.9%) patients developed port side infection, 2(4.5%)tube was placed too shallow, 2(4.5%) patients developed empyema thoracis and 2(4.5%) patients developed bronchopleural fistula. The mean ICT removal information was found 8.8±3.6 days with range from 4 to 18 days. Reinsertion of ICT was done in 6(4.7%) patients. More than two third (68.2%) patients were recovered well, 43(27.9%) patients developed complication and 6(3.9%)patients died. More than two third (66.9%) patients had length of hospital stay 11-20 days. Conclusion: Most of the patients were in 3rd decade and male predominant. Road traffic accident and tube thoracostomy were more common. Open pneumothorax, rib fracture and haemopneumothorax were commonest injuries. Nearly one third of the patients had developed complications. Re-insertion of ICT needed almost five percent and death almost four percent. Journal of Surgical Sciences (2018) Vol. 22 (2) : 110-117

Epidemiological Study of Road Traffic Accident Cases Attending the Civil Hospital, Ahmedabad

2012 ◽  
Vol 3 (8) ◽  
pp. 282-283
Author(s):  
Dr. Chhaya Lakhani ◽  
◽  
Dr. Rachana Kapadia ◽  
Dr. Dhara Prajapati ◽  
Dr. A.Bhagyalaxmi Dr. A.Bhagyalaxmi
Keyword(s):  
Epidemiological Study ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Civil Hospital

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

Cognitive Linguistic Profile Post Road Traffic Accident

2019 ◽  
Vol 10 (12) ◽  
pp. 2240
Author(s):  
M. Vasanthi ◽  
B. Nithya ◽  
Krishna Prasanth ◽  
S. Bhuminathan
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Cognitive Linguistic
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