AI in Healthcare Capstone
Coursera
60 Courses
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Overview
Embark on a captivating journey with the "AI in Healthcare Capstone," designed to consolidate your learning from various courses into one comprehensive experience. This capstone project offers a unique perspective on a patient's healthcare journey, from the onset of respiratory symptoms amidst the COVID-19 pandemic to the engagement with a primary care provider. Focused on data-driven insights, you'll navigate through a very special de-identified dataset, encompassing Electronic Health Records (EHR) and critical image data.
Utilizing this rich dataset, we'll demonstrate how to construct models that make informed risk-stratification decisions, guiding the patient's healthcare pathway. This project challenges you to consider the impact of your choices on model outcomes, from the creation of features and selection of data types to the setup of model evaluations and timeline management of the patient's care. Additionally, it provides a platform to explore the regulatory and ethical considerations in employing AI to enhance patient care strategies.
This hands-on course is designed to mirror the real-world duties of a medical data miner, offering invaluable insights into the intersection of artificial intelligence and healthcare. Stanford Medicine, serving as a beacon for patient care improvements, is proud to be jointly accredited by the ACCME, ACPE, and ANCC, offering continuing education credits for the healthcare team.
For further details, including the original release and expiration dates, accreditation statements, and disclosure of financial relationships, please refer to the FAQs section. This course is presented to you by Stanford University and available through Coursera, categorized under Artificial Intelligence Courses and Healthcare Informatics Courses.
Syllabus
Taught by
Serena Yeung, Nigam Shah, Laurence Baker, Tina Hernandez-Boussard and Matthew Lungren
Tags
Coursera
Coursera
1275 Courses
Coursera
Free Online Course (Audit)
English
11 hours
On-Demand
