This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a primary care provider. We will follow the patient's journey from the lens of the data that are created at each encounter, which will bring us to a unique de-identified dataset created specially for this specialization. The data set spans EHR as well as image data and using this dataset, we will build models that enable risk-stratification decisions for our patient. We will review how the different choices you make -- such as those around feature construction, the data types to use, how the model evaluation is set up and how you handle the patient timeline -- affect the care that would be recommended by the model. During this exploration, we will also discuss the regulatory as well as ethical issues that come up as we attempt to use AI to help us make better care decisions for our patient. This course will be a hands-on experience in the day of a medical data miner.
提供方
课程信息
讲师
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
Getting Started, Phase 1: Data Collection
Phase 2: Model Training Part 1
Phase 3: Model Training Part 2
Phase 4: Model Evaluation
审阅
来自AI IN HEALTHCARE CAPSTONE的热门评论
Getting AI specialization Stanford University is very amazing and effective to start your AI careers. Thank you for all Stanford university lecturers, Thank you Coursera for everything !
I would have liked to see more hands on with users actually writing code in a notebook. The quizzes need to be verified because some answers may not be correct.
Amazing experience, such in depth learning to understand how to approach data problems in healthcare settings and where they can actually be of benefit.
I really enjoyed this course as it was applied learning of all I learned during the previous courses of the specialization.
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.
常见问题
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？
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？
还有其他问题吗？请访问 学生帮助中心。
