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
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第 3 门课程（共 5 门）
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初级
完成时间大约为12 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 西班牙语（Spanish）
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.
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 5 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为12 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 西班牙语（Spanish）
提供方
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.
教学大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Why machine learning in healthcare?
完成时间为 2 小时
7 个视频 （总计 34 分钟）, 6 个阅读材料, 3 个测验
完成时间为 2 小时
Concepts and Principles of machine learning in healthcare part 1
完成时间为 2 小时
8 个视频 （总计 51 分钟）, 2 个阅读材料, 3 个测验
完成时间为 2 小时
Concepts and Principles of machine learning in healthcare part 2
完成时间为 2 小时
10 个视频 （总计 63 分钟）, 3 个阅读材料, 3 个测验
完成时间为 2 小时
Evaluation and Metrics for machine learning in healthcare
完成时间为 2 小时
5 个视频 （总计 35 分钟）, 2 个阅读材料, 3 个测验
审阅
来自FUNDAMENTALS OF MACHINE LEARNING FOR HEALTHCARE的热门评论
由 MN 提供Jan 2, 2021
Good course but the language needs to be simpler. Sometimes simple facts are complicated with the use of high pedigree words that don't really add much to conveying the overall message.
由 AJ 提供Sep 8, 2020
Amazing course teaching the innumerous opportunities in the healthcare sector and the application of AI in the same. Beautifully drafted course with intriguing tutorials and exercises.
由 LS 提供Sep 26, 2020
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.
由 TS 提供Nov 11, 2020
Completing this course has given me a solid foundation and confidence to engage at a deeper level with AIML in health, both as a student and exponent thereof.
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 financial aid available?
Is this activity accredited for Continuing Medical Education (CME)?
完成课程后，我会获得大学学分吗？
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