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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第 3 門課程（共 5 門）
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完成時間大約為12 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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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.
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 5 門）
初級
完成時間大約為12 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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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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完成時間為 2 小時
Why machine learning in healthcare?
完成時間為 2 小時
7 個視頻 （總計 34 分鐘）, 6 個閱讀材料, 3 個測驗
完成時間為 2 小時
Concepts and Principles of machine learning in healthcare part 1
完成時間為 2 小時
8 個視頻 （總計 51 分鐘）, 2 個閱讀材料, 3 個測驗
完成時間為 2 小時
Concepts and Principles of machine learning in healthcare part 2
完成時間為 2 小時
10 個視頻 （總計 63 分鐘）, 3 個閱讀材料, 3 個測驗
完成時間為 2 小時
Evaluation and Metrics for machine learning in healthcare
完成時間為 2 小時
5 個視頻 （總計 35 分鐘）, 2 個閱讀材料, 3 個測驗
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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
由 MW 提供2020年12月3日
great overview to explain ML to all members of a team developing healthcare applications of AI
由 HJ 提供2021年10月4日
it is a really good course for learning ML but some of the videos are a bit hard to fully understand
由 LA 提供2021年4月1日
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,
由 KK 提供2021年2月5日
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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Is this activity accredited for Continuing Medical Education (CME)?
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