Postgraduate Certificate in ML for Non-Communicable Diseases Services
-- ViewingNowThe Postgraduate Certificate in ML for Non-Communicable Diseases Services is a comprehensive course that bridges the gap between technology and healthcare. This certificate course highlights the importance of machine learning (ML) in managing and preventing non-communicable diseases, a growing global health concern.
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⢠Machine Learning Fundamentals → Understanding the basics of machine learning, including supervised, unsupervised, and reinforcement learning, as well as popular algorithms and evaluation metrics.
⢠Data Preprocessing for ML → Learning to clean, transform, and prepare healthcare data for machine learning models, including handling missing values, normalization, and feature engineering.
⢠ML Applications in NCDs: Diabetes → Applying machine learning techniques to predict diabetes using clinical and demographic data, and evaluating model performance.
⢠ML Applications in NCDs: Cardiovascular Diseases → Utilizing machine learning to predict cardiovascular disease risk and outcomes, and interpreting the results.
⢠ML Applications in NCDs: Cancer → Leveraging machine learning for cancer diagnosis, prognosis, and treatment response prediction, and understanding the limitations and ethical considerations.
⢠Explainable AI in ML for NCDs → Delving into the importance of explainability in machine learning models for non-communicable diseases, and learning techniques to improve transparency and interpretability.
⢠Ethics and Regulations in ML for NCDs → Understanding the ethical and regulatory considerations in using machine learning for non-communicable diseases, and ensuring compliance with relevant laws and guidelines.
⢠Capstone Project: ML for NCDs → Applying the skills and knowledge acquired in the program to a real-world machine learning project in non-communicable disease services, under the guidance of an experienced instructor.
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