by Aileen Nielsen | Released November 2017 | ISBN: 9781491991145

Artificial intelligence (AI) and machine learning (ML) in healthcare comprise a rapidly expanding and very promising field. The marriage of technology and health has the potential to empower medical professionals and patients alike, while drastically cutting the cost of healthcare. Using a measured no-hype approach, this video will help technology entrepreneurs, product managers, and health care executives understand what can be done with AI and ML in healthcare today and what concepts are most crucial to producing valuable applications in the near future.Understand the basics of putting together a health-tech data pipeline from raw datasetsLearn how pipelines turn unstructured data (e.g., medical records and open ended surveys) into inputs for modeling and metricsExplore the unsupervised learning methodologies that search for novel insights in large health datasetsUnderstand the forecasting and classification methodologies for individual and population level healthGet up to date on Assist-AI in health-related user interactions and clinical decision makingBecome aware of the data challenges inherent in many scenarios within healthcare applicationsAileen Nielsen is a software engineer at One Drop, a company working on diabetes-management products. A member of the New York City Bar Association's Science and Law committee, Aileen holds degrees in anthropology, law, and physics from Princeton, Yale, and Columbia, respectively. Show and hide more

1. Coding for Healthcare 00:10:04
2. Building Healthcare Data Pipelines 00:11:34
3. Munging Healthcare Data with Python 00:21:34
4. Cleaning Healthcare Data with R 00:28:55
5. Quantifying Healthcare Data 00:05:27
6. Applying Unsupervised Learning to Healthcare Data Sets 00:05:20
7. Clustering Patient Behavior with Python 00:10:15
8. Applying Prediction to Healthcare Data Sets 00:05:33
9. Assessing Fertility Risk with R 00:08:26
10. Understanding Deep Learning and Healthcare 00:05:08
11. Understanding How Assist AI can be Used for Healthcare 00:02:32
12. Building a Heuristics-Based Bot 00:12:07
13. Wrap Up 00:02:28
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