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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課程信息
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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.
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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
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- 5 stars80.91%
- 4 stars16.18%
- 3 stars2.48%
- 2 stars0.41%
來自FUNDAMENTALS OF MACHINE LEARNING FOR HEALTHCARE的熱門評論
great overview to explain ML to all members of a team developing healthcare applications of AI
it is a really good course for learning ML but some of the videos are a bit hard to fully understand
This was a great course, the presenters really gave a clear view about the differences which could happen when working with health related data set. Very well done,
The course was inspiring and useful for a future career! Congratulations to Professor Matthew Lungren and Assistant Professor Serena Yeung! :)
關於 AI in Healthcare 專項課程
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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我什么时候能够访问课程视频和作业?
我订阅此专项课程后会得到什么?
有助学金吗?
Is this activity accredited for Continuing Medical Education (CME)?
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