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
課程信息
講師
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.
教學大綱 - 您將從這門課程中學到什麼
Getting Started, Phase 1: Data Collection
Phase 2: Model Training Part 1
Phase 3: Model Training Part 2
Phase 4: Model Evaluation
審閱
來自AI IN HEALTHCARE CAPSTONE的熱門評論
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.
Good overview for AI in Healthcare but more reading and OTJ training will needed.
Nicely Framed and Executed in a simple language so anyone can catch up earliest.
There are 9 peer review tasks, but they are not obligate ;)
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.
常見問題
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？
What is the refund policy?
完成课程后，我会获得大学学分吗？
Is this activity accredited for Continuing Medical Education (CME)?
Will I earn university credit for completing the Course?
還有其他問題嗎？請訪問 學生幫助中心。
