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AI in Healthcare Capstone · LearnSpace
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AI in Healthcare Capstone

Курс от Stanford Online
Уровень не указан≈ 10.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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. 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.

Навыки, которые вы освоите

Model EvaluationApplied Machine LearningModel OptimizationModel TrainingResponsible AIModel DeploymentData CollectionPerformance TuningHealth InformaticsData EthicsArtificial IntelligenceMachine Learning SoftwareArtificial Intelligence and Machine Learning (AI/ML)Patient-centered CareHealthcare EthicsHealth Information ManagementFine-tuningClinical Data ManagementHealth Care Procedure and RegulationMachine Learning

Программа курса

5 модулей · 26 учебных материалов

01Getting Started, Phase 1: Data Collection6 материалов

Welcome and Phase 1 Reading

IntroductionЧтениеPhase 1: Data CollectionЧтение

Phase 1: Data Collection [Project 1]

Phase 1. Project 1ЗаданиеPhase 1 Peer Review - Project 1Взаимная проверка

Учитесь у экспертов

Matthew Lungren

Associate Professor

Nigam Shah

Academic Director, AI in Healthcare Specialization; Associate Professor

Serena Yeung

Assistant Professor

Tina Hernandez-Boussard

Associate Professor

Laurence Baker

Bing Professor

AI in Healthcare Capstone
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 10.6 ч

5 модулей

Язык: Английский

Часть программы вашего университета

Phase 1: Data Collection [Project 2]

Phase 1. Project 2Задание
Phase 1 Peer Review - Project 2Взаимная проверка
02Phase 2: Model Training Part 15 материалов

Phase 2 Reading

Phase 2: Model Training, Part 1Чтение

Phase 2: Model Training Pt1 [Project 1]

Phase 2. Project 1ЗаданиеPhase 2 Peer Review - Project 1Взаимная проверка

Phase 2: Model Training Pt1 [Project 2]

Phase 2. Project 2ЗаданиеPhase 2 Peer Review - Project 2Взаимная проверка
03Phase 3: Model Training Part 25 материалов

Phase 3 Reading

Phase 3: Model Training, Part 2Чтение

Phase 3: Model Training Part 2 [Project 1]

Phase 3. Project 1ЗаданиеPhase 3 Peer Review - Project 1Взаимная проверка

Phase 3: Model Training Part 2 [Project 2]

Phase 3. Project 2ЗаданиеPhase 3 Peer Review - Project 2Взаимная проверка
04Phase 4: Model Evaluation5 материалов

Phase 4 Reading

Phase 4: Model EvaluationЧтение

Phase 4: Model Evaluation [Project 1]

Phase 4. Project 1ЗаданиеPhase 4 Peer Review - Project 1Взаимная проверка

Phase 4: Model Evaluation [Project 2]

Phase 4. Project 2ЗаданиеPhase 4 Peer Review - Project 2Взаимная проверка
05Phase 5: Model Deployment and Regulation, Wrap Up5 материалов

Phase 5: Model Deployment and Regulation

Phase 5: Model Deployment and RegulationЧтениеPhase 5 Peer ReviewВзаимная проверкаPhase 5Задание

Wrap Up

Wrap UpЧтениеClaim CME CreditЧтение