Comparing Predictive Machine Learning Algorithms in Fit for Work Occupational Health Assessments

Charapaqui-Miranda, Saul; Arapa-Apaza, Katherine Linda; Meza-Rodriguez, Moises; Chacón-Torrico, Horacio

doi:10.1007/978-3-030-46140-9_21

Cited by 1 publication

(2 citation statements)

References 11 publications

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“…Mirandaʼs study, focusing on predictive machine learning algorithms in occupational health assessment, demonstrated the potential of AI in predicting fitness for work with 68% accuracy, but challenges such as data imbalance need to be addressed for more robust models [9]. In Indonesia, research centers in occupational medicine are taking steps towards big data utilization.…”

Section: Case Studies Of Big Data Analysis In Occupational Medicinementioning

confidence: 99%

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Preparation and Challenges in Developing a Big Data Analysis Framework in Occupational Medicine in Indonesia

KEKALIH,

ADI,

SOEMARKO

2024

J UOEH

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This mini review explores the transformative potential of big data analysis and artificial intelligence (AI) in reforming occupational medicine in Indonesia. Emphasizing the preconditions, case studies, and benefits, it underscores the role of big data in enhancing worker well-being. The review highlights the importance of informative health big data, especially in high-risk industries, with examples of case studies of AI implementation in occupational medicine during the COVID-19 pandemic and other relevant scenarios. While acknowledging the challenges of AI implementation, the essay identifies the role of academic and professional organizations as pioneers in big data utilization. Six potential benefits that are identified, including improved patient care and efficient resource allocation, demonstrate the transformative impact of big data analysis. The proposed pathway of preparation underscores the need for awareness, skill enhancement, and collaboration, addressing challenges in data management and stakeholder engagement. The conclusion emphasizes continuous assessment, feasibility studies, and commitment as essential steps in advancing occupational medicine through big data analysis.

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Section: Case Studies Of Big Data Analysis In Occupational Medicinementioning

confidence: 99%

“…Big data analysis provides invaluable insights that inform decision-making processes [6,9]. Healthcare professionals can make more informed and strategic decisions based on a comprehensive understanding of occupational health trends.…”

Section: Potential Benefits Of Big Data Analysis In Occupational Medi...mentioning

confidence: 99%

Preparation and Challenges in Developing a Big Data Analysis Framework in Occupational Medicine in Indonesia

KEKALIH,

ADI,

SOEMARKO

2024

J UOEH

View full text Add to dashboard Cite

show abstract

Comparing Predictive Machine Learning Algorithms in Fit for Work Occupational Health Assessments

Cited by 1 publication

References 11 publications

Preparation and Challenges in Developing a Big Data Analysis Framework in Occupational Medicine in Indonesia

Preparation and Challenges in Developing a Big Data Analysis Framework in Occupational Medicine in Indonesia

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