Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles.
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课程信息
您将学到的内容有
Define important relationships between the fields of machine learning, biostatistics, and traditional computer programming.
Learn about advanced neural network architectures for tasks ranging from text classification to object detection and segmentation.
Learn important approaches for leveraging data to train, validate, and test machine learning models.
Understand how dynamic medical practice and discontinuous timelines impact clinical machine learning application development and deployment.
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斯坦福大学
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
授课大纲 - 您将从这门课程中学到什么
Why machine learning in healthcare?
Concepts and Principles of machine learning in healthcare part 1
Concepts and Principles of machine learning in healthcare part 2
Evaluation and Metrics for machine learning in healthcare
审阅
- 5 stars81.73%
- 4 stars15.06%
- 3 stars2.73%
- 2 stars0.45%
来自FUNDAMENTALS OF MACHINE LEARNING FOR HEALTHCARE的热门评论
the quality of videos was great. week 4 till week 7 have some hard to learn problems, it is better to make it more clear and easier to understand.
Interesting and well crafted, it is mostly at an introductory level, but accurate and with many details regarding how to apply ML to healthcare. Worth to follow.
So grateful for this learning journey with the prestigious Stanford!
Top quality teaching from Matthew and Serena, thank you! Engaging throughout the whole 7 weeks, best if you have some previous knowledge in ML.
关于 AI in Healthcare 专项课程
Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.

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Is this activity accredited for Continuing Medical Education (CME)?
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