AI for Healthcare

Topic1 Introduction to AI in Healthcare

• Understanding the Benefits of AI in Healthcare
• Interpreting Data Patterns in Healthcare
• Extracting Insights from Healthcare Data
•  Case Studies:
• AI Applications in Healthcare
• Using AI for Early Diagnosis of Diseases
• AI-Powered Predictive Analytics for Patient Outcomes

Topic 2 Data Science and Business Insights

• Evaluating Data Science Solutions for Healthcare
• Managing Data Science Projects in Healthcare
• Prioritizing Data Science Projects for Maximum ROI
• Customizing Data Models for Healthcare Hypotheses
• Case Studies:
• Implementing AI for Patient Monitoring and Care
• Data Science in Drug Discovery and Development

Topic 3 Data Mining and Analysis

• Running Complex Data Mining Models in Healthcare
• Managing Organizational Capacity for Data Science Projects
• Exploring Healthcare Data Sets Visually and Analytically
• Case Studies:
• Successful Data Mining Applications in Healthcare
• AI for Predicting Disease Outbreaks
• Data Mining for Personalized Treatment Plans

Topic 4 Advanced Data Science Techniques

• Communicating the Results of Data Science Projects
• Making Recommendations Based on Data Insights
• Application of Statistics and Data Mining in Healthcare
• Tools and Techniques for Advanced Data Modeling
• Measuring the Capability of the Data Science Team
• Case Studies:
• AI in Medical Imaging for Accurate Diagnostics
• Machine Learning Models for Predicting Patient Readmission Rates

Prerequisite

This is a intermediate course. The following knowledge is assumed:

• Basic Python

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Tensorflow on Mac

Please follow this guide to install Tensorflow on Mac https://www.tensorflow.org/install/install_mac

Alternatively, you can enter the following commands on your Mac terminal

pip3 install tensorflow

3 . Install Tensorflow on Window

Please follow this guide to install Tensorflow on Window https://www.tensorflow.org/install/install_windows

Tensorflow only support Python 3.5, you can install Tensorflow in Python 3.5 the following ways:

• Install Anaconda for Windows https://www.anaconda.com/download/#windows
• Create a new Conda environment in Pycharm for Python 3.5

• Data Scientist
• Healthcare Analyst
• Clinical Researcher
• Medical Practitioner
• AI Developer
• Machine Learning Engineer
• Health Informatics Specialist
• Biostatistician
• Medical Imaging Specialist
• Robotics Engineer
• Bioinformatician
• Pharmacologist
• Genetic Counselor
• Public Health Specialist
• Medical Writer

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACTA certified trainer.  Dwight Nuwan Fonseka have a degree in Biotechnology (from NUS), Advanced diploma in Pharmaceutical management (from MDIS) and Masters in Education (from NTU). He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.