Hands-on Data Science and AI for Healthcare
39mAdvanced2023-08-03
Authors
Wuraola Oyewusi
Wuraola Oyewusi is an experienced data scientist, machine learning, and artificial intelligence professional.
Course details
Healthcare is chock-full of all kinds of data, which makes it one of the best fields to apply analytic data science techniques. Unfortunately, though, there are very few resources to learn about applying code-based approaches to healthcare-related use cases.
In this course, instructor Wuraola Oyewusi gives an overview of how to apply a wide variety of different data science and machine learning algorithms, drawing insights from specific examples of real-world data in healthcare. Explore scenarios, sample data sets, and decision-making processes in the context of disease prediction, sentiment analysis of patient opinion via online medication reviews, and radiology image detection using computer vision. By the end of this course, you’ll also be equipped with powerful exploratory data analysis skills to create visualizations using word clouds and Scattertext.
In this course, instructor Wuraola Oyewusi gives an overview of how to apply a wide variety of different data science and machine learning algorithms, drawing insights from specific examples of real-world data in healthcare. Explore scenarios, sample data sets, and decision-making processes in the context of disease prediction, sentiment analysis of patient opinion via online medication reviews, and radiology image detection using computer vision. By the end of this course, you’ll also be equipped with powerful exploratory data analysis skills to create visualizations using word clouds and Scattertext.
Skills covered
Artificial Intelligence FoundationsData AnalysisArtificial Intelligence (AI)Data ScienceBusiness Analysis and StrategyBusiness Software and ToolsOne-Off
Concepts
0. Introduction
- 01 - Using data science and AI for healthcare
- 02 - What you should know
- 03 - How the exercise files work
1. Disease Prediction Using Machine Learning
- 04 - Use Case - Diabetes prediction
- 05 - Diabetes prediction using machine learning model
- 06 - Model explanation using SHAP
2. Sentiment Analysis of Patient Opinion
- 07 - Use case - Online medication review
- 08 - Sentiment analysis using pre-trained transformer models
3. Radiology Image Detection Using Computer Vision
- 09 - Use case - Shoulder implant X-ray manufacturer detection
- 10 - X-ray manufacturer classification using convolutional neural networks (CNN)
- 11 - X-ray manufacturer classification using transfer learning
4. Exploratory Data Analysis Using Visualization
- 12 - Use case - Diseases and medications text
- 13 - Diseases and medications text visualization using word clouds
- 14 - Diseases and medications text visualization using Scattertext
Conclusion
- 15 - Next steps
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