根据数据类型对数据挖掘策略的审查,重点关注建筑工艺和健康和安全管理
Antonella Pireddu1, Angelico Bedini1, Mara Lombardi2
1Department of Technological Innovations and Safety of Plants, Products and Anthropic Settlements (DIT), Italian National Institute for Insurance against Accidents at Work, Inail, 00144 Rome, Italy.
概括
监督数据挖掘方法在建筑安全分析中比无监督方法更有效. 这一审查有助于选择合适的数据挖掘技术,用于建筑业的职业健康和安全.
科学领域:
- 职业健康和安全问题 职业健康和安全问题
- 数据挖掘 数据挖掘
- 建筑业 建筑行业 建筑行业
背景情况:
- 信息技术推进了数据管理,用于风险分析和事件预测.
- 建筑行业数据的变化需要在职业健康和安全研究中特别注意.
- 这一审查与国家职业意外保险研究所 (Inail) 的研究计划保持一致.
研究的目的:
- 确定最合适的数据挖掘 (DM) 方法 (监督,无监督或其他) 特定的调查目标,数据类型和建筑行业的来源.
- 引导DM技术的选择,用于建筑业的职业健康和安全研究.
主要方法:
- 在2014年至2023年间从Scopus和ProQuest发布的研究的系统文献综述,遵循PRISMA指南.
- 在探索性分析中应用层次分类.
- 利用主要组件分析 (PCA) 和元分析进行深入调查.
主要成果:
- 总共有63篇文章被选中,产生了206个观察和89个方法.
- 集群分析和PCA揭示了两个主要维度:"监督方法,机构数据集和预测/分类目的"和"无监督方法;项目,模拟,文献,文本数据;监测,决策过程;机器和环境".
- 解决了关于方法适用性的研究问题,指出了监督和无监督方法的不同应用.
结论:
- 分析表明,监督方法在建筑安全应用中比无监督方法更有效 (几率比率=0.71,CI 0.53-0.96).
- 结果提供了基于证据的建议,用于数据挖掘应用在建筑职业健康和安全.
相关概念视频
Data Validation
5.0K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
5.0K
Methods of Documentation VI: Case Management Model
564
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
564
Survey Safety
25
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
25
Manipulation and Analysis
23
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
23
Data Reporting and Recording
4.6K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.6K
Strategies for Assessing and Addressing Confounding
88
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
88


