Predictive Analytics for Global Health
( 24 Modules )

Module #1
Introduction to Predictive Analytics for Global Health
Overview of predictive analytics, its importance in global health, and course objectives

Module #2
Global Health Challenges and Opportunities
Discussion of global health challenges, Sustainable Development Goals, and the role of predictive analytics

Module #3
Foundations of Predictive Analytics
Introduction to predictive analytics concepts, types of predictive models, and evaluation metrics

Module #4
Data Sources for Global Health
Overview of data sources for global health, including surveys, registries, and electronic health records

Module #5
Data Preprocessing for Predictive Analytics
Techniques for data cleaning, transformation, and feature engineering in global health datasets

Module #6
Supervised Learning for Global Health
Introduction to supervised learning, including regression, classification, and model evaluation

Module #7
Unsupervised Learning for Global Health
Introduction to unsupervised learning, including clustering, dimensionality reduction, and anomaly detection

Module #8
Model Interpretation and Visualization
Techniques for interpreting and visualizing predictive models, including feature importance and partial dependence plots

Module #9
Case Study:Predicting Disease Outbreaks
Real-world example of predictive analytics for disease outbreak prediction, including data preparation and model evaluation

Module #10
Machine Learning for Image and Signal Analysis
Introduction to machine learning for image and signal analysis in global health, including computer vision and signal processing

Module #11
Natural Language Processing for Global Health
Introduction to natural language processing for global health, including text analysis and sentiment analysis

Module #12
Geospatial Analysis for Global Health
Introduction to geospatial analysis, including spatial autocorrelation and spatial regression

Module #13
Time Series Analysis for Global Health
Introduction to time series analysis, including forecasting and anomaly detection

Module #14
Case Study:Predicting Healthcare Utilization
Real-world example of predictive analytics for healthcare utilization prediction, including data preparation and model evaluation

Module #15
Ethical Considerations in Predictive Analytics for Global Health
Discussion of ethical considerations, including data privacy, bias, and fairness in predictive models

Module #16
Communication and Dissemination of Predictive Analytics Results
Best practices for communicating and disseminating predictive analytics results to stakeholders, including policymakers and healthcare practitioners

Module #17
Collaboration and Team Science in Predictive Analytics
Importance of collaboration and team science in predictive analytics for global health, including interdisciplinary approaches

Module #18
Case Study:Predicting Maternal Mortality
Real-world example of predictive analytics for maternal mortality prediction, including data preparation and model evaluation

Module #19
Predictive Analytics for Infectious Disease Surveillance
Applications of predictive analytics for infectious disease surveillance, including outbreak detection and forecasting

Module #20
Predictive Analytics for Chronic Disease Management
Applications of predictive analytics for chronic disease management, including risk prediction and patient stratification

Module #21
Predictive Analytics for Health Systems Strengthening
Applications of predictive analytics for health systems strengthening, including supply chain management and human resources planning

Module #22
Big Data Analytics for Global Health
Introduction to big data analytics, including Hadoop, Spark, and NoSQL databases

Module #23
Cloud Computing for Predictive Analytics in Global Health
Introduction to cloud computing for predictive analytics, including AWS, Azure, and Google Cloud

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Predictive Analytics for Global Health career

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Predictive Analytics for Global Health ( 24 Modules )

Predictive Analytics for Global Health
( 24 Modules )