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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/fundamental-machine-learning-healthcare
课程评论：没有评论
课程名称：医疗保健机器学习基础 概述：机器学习和人工智能拥有变革医疗保健的潜力，带来无穷的前景。然而，只有所有相关方具备基本的医疗和机器学习概念及原则，才能实现这些技术的潜力。本课程将介绍机器学习在医学和医疗保健领域的基础概念和原则。我们将探讨机器学习的方法、医疗实例、医疗独特的指标，以及设计、构建和评估医疗保健中机器学习应用的最佳实践。 本课程旨在赋能医疗、健康政策、制药开发以及数据科学等非工程背景的人士，使其具备批判性评估和应用这些技术的知识。 联合作者：Geoffrey Angus 贡献编辑： Mars Huang Jin Long Shannon Crawford Oge Marques 斯坦福大学医学院获得继续医学教育委员会（ACCME）认证，提供医生的继续医学教育。有关课程的重要信息，包括原始发布日期、终止日期、认证和学分指定声明以及每位活动内容控制者的财务关系披露，请参阅常见问题解答。 课程大纲： 1. 为什么在医疗保健中应用机器学习？ 2. 医疗保健中的机器学习概念与原则（第一部分） 3. 医疗保健中的机器学习概念与原则（第二部分） 4. 医疗保健中机器学习的评估与指标 5. 医疗保健中机器学习的策略与挑战 6. 最佳实践、团队及启动您的机器学习旅程 7. 课程总结
Part: 1
Title:Why machine learning in healthcare?
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Part: 2
Title:Concepts and Principles of machine learning in healthcare part 1
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Part: 3
Title:Concepts and Principles of machine learning in healthcare part 2
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Part: 4
Title:Evaluation and Metrics for machine learning in healthcare
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Part: 5
Title:Strategies and Challenges in Machine Learning in Healthcare
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Part: 6
Title:Best practices, teams, and launching your machine learning journey
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Part: 7
Title:Course Conclusion
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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. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. The course will empower those with non-engineering backgrounds in healthcare, health policy, pharmaceutical development, as well as data science with the knowledge to critically evaluate and use these technologies. Co-author: Geoffrey Angus Contributing Editors: Mars Huang Jin Long Shannon Crawford Oge Marques The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.
