Relationships between Safety Perception, Knowledge, and Compliance among Hospital
            Employees

Chung, Su Kyoung

doi:10.14257/apjcri.2018.12.08

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Regulatory alignment has firstly been used in the industrial workplace context and refers to the supportive attitudes, alignment and adherence to safety guidelines and policies to maintain an acceptable level of safety at the workplace [ 15 , 16 ]. To assess regulatory alignment, two main approaches have been adopted.…”

Section: Introductionmentioning

confidence: 99%

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

Boulagouas

Herrero

Chaib

et al. 2020

IJERPH

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Road traffic plays a vital role in countries’ economic growth and future development. However, traffic accidents are considered a major public health issue affecting humankind. Despite efforts by governments to improve traffic safety, the misalignment between the policy efforts and on-ground infringements, distractions and breaches reflect the regulatory failure. This paper uses the Bayesian network method to investigate unsafe behaviors and traffic accidents involving unlicensed drivers as a perspective for the regulatory alignment assessment. The findings suggest that: (1) unlicensed drivers are more likely to have unsafe driving behaviors; (2) the probability of being involved in a severe traffic accident increases when the drivers are unlicensed and decreases in the case of licensed drivers; (3) young drivers are noticeably more likely to engage in unsafe behaviors, usually leading to serious injuries and deaths, when their driving licenses are invalid; (4) women are more likely to engage in right-of-way violations and to have collisions with no serious injuries, contrary to unlicensed men drivers, who are involved in other types of traffic accidents resulting in serious injuries.

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Section: Introductionmentioning

confidence: 99%

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

Boulagouas

Herrero

Chaib

et al. 2020

IJERPH

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show abstract

“…When the information and data collected by major medical institutions are gathered together, the summary results are huge and all are the real information and data of patients [5], [6]. The association between them is identified from the above data stream set, and the association rules of its distribution pattern are summarized, which is very beneficial to the treatment of diseases and medical diagnosis [7], [9].…”

Section: Introductionmentioning

confidence: 99%

Medical Data Stream Distribution Pattern Association Rule Mining Algorithm Based on Density Estimation

Wang

Dong

2019

IEEE Access

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The traditional data mining method is featured by no analysis over the data distribution and incomplete derived association rule. As a result, the data mining results have the deficiencies of large redundancy probability, large root-mean-square error of approximation (RMSEA) and long consumption time. To handle these issues, this paper proposes a medical data stream distribution pattern association rule mining algorithm based on density estimation. This paper collects medical data, selects the distance method to detect abnormal orphan data in the data stream, detects the duplicate data in the data stream by the similar field matching degree, and eliminates the abnormal data and the duplicate data. Then, the data stream density is estimated based on the histogram estimation samples. According to the data density estimation results, this paper analyzes the distribution of medical data stream from perspectives of concentration, dispersion and morphological characteristics of data distribution. Afterwards, the data distribution pattern association rule mining model is constructed based on compound neural network, data distribution parameters are entered into model's clustering layer, and in-depth training is conducted over the BP (Back Propagation) neural network at the model's mining layer. Meanwhile, all rules under the combination of hidden layer's neuron activity value and corresponding output value, and all rules under the combination of hidden layer's neuron activity value and corresponding input value are derived, so as to complete association rule mining of medical data stream distribution pattern. The experimental results show that the proposed algorithm has a contour curve closest to the true probability density curve; the dispersion degree of medical data is within a reasonable range, and the medical data has high stability; the data redundancy probability is smaller; the mining result's RMSEA is small; data mining takes less time.INDEX TERMS Compound neural network, medical data, density estimation, distribution pattern, association rules, mining.

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The Effect of Safety Training and Workers Involvement on Safety Compliance With Safety Knowledge as a Mediation Variables

Rizki¹,

Wahyuni²,

Sugandhini³

2020

RJOAS

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Relationships between Safety Perception, Knowledge, and Compliance among Hospital Employees

Cited by 3 publications

References 10 publications

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

Medical Data Stream Distribution Pattern Association Rule Mining Algorithm Based on Density Estimation

The Effect of Safety Training and Workers Involvement on Safety Compliance With Safety Knowledge as a Mediation Variables

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