Applying AI to EHR Data
- Offered byUDACITY
Applying AI to EHR Data at UDACITY Overview
Applying AI to EHR Data
at UDACITY
Learn with Udacity to harness AI for EHR data analysis. Learn how to build, assess, and interpret ML models for medical insights. Grow your career
Duration | 3 weeks |
Total fee | ₹69,700 |
Mode of learning | Online |
Difficulty level | Advanced |
Official Website | Go to Website  |
Credential | Certificate |
Applying AI to EHR Data at UDACITY Highlights
Applying AI to EHR Data
at UDACITY
- Earn a certificate from Udacity
- Flexible learning program
- Technical mentor support
- Practical tips and industry best practices
- Unlimited submissions and feedback loops
- Additional suggested resources to improve
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Applying AI to EHR Data at UDACITY Course details
Applying AI to EHR Data
at UDACITY
Skills you will learn
What are the course deliverables?
- In this lesson, you will learn about the importance of data security and the different standards that apply to EHR, as well as analyzing EHR data
- In this lesson you will learn how to work with different EHR codes and how to map them properly to records
- In this lesson, you'll gain skills in feature engineering and transformation of EHR
- In this final lesson, you'll be putting all of your skills together to build, evaluate and interpret ML models for Bias and Uncertainty
- In this project students will use what they learn in the classroom to apply AI in healthcare for patient data
More about this course
- With the transition to electronic health records (EHR) over the last decade, the amount of EHR data has increased exponentially, providing an incredible opportunity to unlock this data with AI to benefit the healthcare system
- Learn the fundamental skills of working with EHR data in order to build and evaluate compliant, interpretable machine learning models that account for bias and uncertainty using cutting-edge libraries and tools including Tensorflow Probability, Aequitas, and Shapley
- Understand the implications of key data privacy and security standards in healthcare
- Apply industry code sets, transform datasets at different EHR data levels, and use Tensorflow to engineer features
Applying AI to EHR Data at UDACITY Curriculum
Applying AI to EHR Data
at UDACITY
Applying AI to EHR Data Introduction
EHR Data Security and Analysis
EHR Code Sets
EHR Transformations & Feature Engineering
Building, Evaluating and Interpreting Models
Project: Patient Selection for Diabetes Drug Testing
Applying AI to EHR Data at UDACITY Entry Requirements
Applying AI to EHR Data
at UDACITY
Eligibility criteria
- Education: Graduate
Conditional Offer
- Not mentioned
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