This course is part of AI in Healthcare Specialization

Instructors: Matthew Lungren +4 more

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Skills you'll gain

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