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AI and Big Data in Health Research
Introduction
Course Overview and Objectives
Importance of AI and Big Data in Health Research
Fundamentals of AI and Big Data
Basics of Artificial Intelligence
Basics of Big Data Analytics
Applications of AI and Big Data in Healthcare
Data Collection and Management
Data Collection Methods in Healthcare
Data Preprocessing and Cleaning
Healthcare Data Privacy and Ethics
Machine Learning in Health Research
Introduction to Machine Learning
Supervised and Unsupervised Learning Algorithms
Machine Learning Applications in Healthcare
Deep Learning and Neural Networks
Deep Learning Fundamentals
Convolutional Neural Networks (CNN) in Healthcare
Recurrent Neural Networks (RNN) in Healthcare
Big Data Technologies
Hadoop and MapReduce
Apache Spark for Big Data Processing
Data Visualization and Interpretation
AI and Big Data in Clinical Decision Support
Clinical Decision Support Systems
Predictive Modeling in Healthcare
Challenges and Opportunities in Implementing AI in Clinical Practice
Research Ethics and Regulatory Considerations
Ethical Issues in AI and Big Data Research
Regulatory Frameworks for Healthcare Data
Governance and Compliance in Health Research
Case Studies and Practical Applications
Real-world Examples of AI and Big Data in Health Research
Hands-on Projects and Exercises
Future Trends in AI and Big Data in Healthcare
Conclusion
Recap and Final Assessment
Future Opportunities and Continued Learning Paths
Hadoop and MapReduce
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