Artificial Intelligence for Health Data Analysis

Objectives
  • Explain the core concepts of Artificial Intelligence, machine learning, and
    health data science and their relevance to modern health systems.
  • Identify and assess practical applications of AI in healthcare delivery,
    public health, and biomedical research.
  • Prepare, clean, structure, and manage health datasets for AI analysis.
  • Apply machine learning techniques to health data for descriptive,
    predictive, and classification analysis.
  • Analyze trends, patterns, and health outcomes using AI-supported
    analytical methods.
  • Use AI tools to support disease surveillance, forecasting, and early
    warning systems.
  • Interpret AI generated outputs and translate analytical ndings into
    actionable policy and operational decisions.
  • Understand and apply ethical, legal, and governance framework
    governing the responsible use of in health data environment.
  • Design practical strategies for integrating AI tools and insights into health
    programmes, research, and decision-making systems.
Structure
  • Foundations of Artificial Intelligence in Health
  • Health Data Management and Preparation for AI Analysis
  • AI and Machine Learning Methods for Health Data Analysis
  • Practical Applications of AI in Public Health and Healthcare
  • Ethics, Governance, Interpretation and Action
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