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.
이 강좌에 대하여
Nigam ShahAcademic Director, AI in Healthcare Specialization; Associate Professor
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.
- 5 stars73.33%
- 4 stars20%
- 3 stars4.76%
- 2 stars1.90%
AI IN HEALTHCARE CAPSTONE의 최상위 리뷰
I really enjoyed this course as it was applied learning of all I learned during the previous courses of the specialization.
Good overview for AI in Healthcare but more reading and OTJ training will needed.
Amazing experience, such in depth learning to understand how to approach data problems in healthcare settings and where they can actually be of benefit.
Very well structured course. Easy to understand for those without a backgraoud of bioinformatics. And of course great mentors
AI in Healthcare 특화 과정 정보
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.
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
Is this activity accredited for Continuing Medical Education (CME)?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.