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Big Data, Decision Models, and Public Health.

Chien-Lung Chan1,2, Chi-Chang Chang3

  • 1Department of Information Management, Yuan Ze University, Taoyuan 320, Taiwan.

International Journal of Environmental Research and Public Health
|September 18, 2020
PubMed
Summary

Big data analytics offers innovative decision models for complex medical choices. This special issue explores big data applications in public health decision-making, from theory to practice.

Keywords:
big datadecision modelspublic health

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Area of Science:

  • Public Health
  • Medical Decision Making
  • Data Science

Background:

  • Medical decisions involve significant consequences and trade-offs.
  • Traditional decision-making processes struggle with complexity and risk assessment.
  • Big data analytics (statistical analysis, data mining, machine learning, deep learning) offers new approaches.

Discussion:

  • This Special Issue focuses on big data analytics for public health decision models.
  • It covers the application of these techniques from theoretical underpinnings to practical implementation.
  • The goal is to aid comprehension and comparison of benefits and risks in complex medical choices.

Key Insights:

  • Big data analytics can construct innovative decision models for healthcare.
  • Machine learning and deep learning are key components of these advanced analytical techniques.
  • Effective decision models are crucial for navigating complex medical trade-offs.

Outlook:

  • Future research will likely integrate more sophisticated big data techniques into public health strategies.
  • The practical application of these models is expected to improve patient outcomes and resource allocation.
  • Continued exploration of theory and practice will refine big data's role in medical decision support.