Machine Learning For Digital Healthcare
Day 1: Introduction
1. Morning Session: Welcome and Overview
– Registration and welcome remarks
– Workshop objectives and schedule overview
– Importance of machine learning in healthcare
2. Morning Session: Fundamentals of Machine Learning
– Introduction to machine learning concepts
– Supervised, unsupervised, and reinforcement learning
– Real-world healthcare applications of machine learning
3. Afternoon Session: Data in Healthcare
– Challenges and opportunities in healthcare data
– Data preprocessing and cleaning for healthcare datasets
– Hands-on exercise: Data preprocessing with Python libraries
Day 2: Medical Imaging and Diagnostics
1. Morning Session: Medical Imaging and Deep Learning
– Introduction to medical imaging and its importance
– Using deep learning for image classification and segmentation
– Case study: Detecting diseases from medical images
2. Afternoon Session: Hands-on Workshop – Medical Image Classification
– Setting up a deep learning environment
– Implementing a medical image classification model
– Evaluating model performance with real medical images
Day 3: Predictive Modeling in Healthcare
1. Morning Session: Predictive Analytics in Healthcare
– Predictive modeling for patient outcomes
– Feature selection and engineering for healthcare datasets
– Case study: Predicting disease risk with patient data
2. Afternoon Session: Hands-on Workshop – Predictive Modeling
– Building a predictive model for healthcare data
– Model evaluation and interpretation
– Discussing ethical considerations in healthcare predictions
Day 4: Workshop Projects and Future Directions
1. Morning Session: Workshop Projects
– Participants work on healthcare-related machine learning projects in groups
– Mentors provide guidance and support
2. **Afternoon Session: Project Presentations and Discussion**
– Each group presents their project
Day 5: Direction and Next steps
3. Closing Session: Future Directions and Resources
– Discussion of the future of machine learning in healthcare
– Resources for further learning and staying updated
– Certificate distribution and closing remarks
