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Stanford University - AI in Healthcare Capstone 

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AI in Healthcare Capstone
 at 
Coursera 
Overview

Duration

11 hours

Start from

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

AI in Healthcare Capstone
 at 
Coursera 
Highlights

  • This Course Plus the Full Specialization.
  • Shareable Certificates.
  • Graded Programming Assignments.
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AI in Healthcare Capstone
 at 
Coursera 
Course details

More about this course
  • 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.
  • The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.
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AI in Healthcare Capstone
 at 
Coursera 
Curriculum

Getting Started, Phase 1: Data Collection

Introduction

Phase 1: Data Collection

Phase 1. Project 1

Phase 1. Project 2

Phase 2: Model Training Part 1

Phase 2: Model Training, Part 1

Phase 2. Project 1

Phase 2. Project 2

Phase 3: Model Training Part 2

Phase 3: Model Training, Part 2

Phase 3. Project 1

Phase 3. Project 2

Phase 4: Model Evaluation

Phase 4: Model Evaluation

Phase 4. Project 1

Phase 4. Project 2

Phase 5: Model Deployment and Regulation, Wrap Up

Phase 5: Model Deployment and Regulation

Wrap Up

Claim CME Credit

Phase 5

AI in Healthcare Capstone
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    AI in Healthcare Capstone
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