AI in Healthcare Capstone

This course is part of AI in Healthcare Specialization

Instructors: Matthew Lungren +4 more

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Skills you'll gain

  •   Patient Evaluation
  •   Health Informatics
  •   Predictive Modeling
  •   Applied Machine Learning
  •   Regulatory Compliance
  •   Feature Engineering
  •   Application Deployment
  •   Clinical Data Management
  •   Healthcare Industry Knowledge
  •   Data Ethics
  •   Machine Learning Software
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Performance Tuning
  •   Data Collection
  •   Machine Learning
  •   Health Care Procedure and Regulation
  • There are 5 modules in this course

    In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.

    Phase 2: Model Training Part 1

    Phase 3: Model Training Part 2

    Phase 4: Model Evaluation

    Phase 5: Model Deployment and Regulation, Wrap Up

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