Ementorhub

What you'll learn

How to apply a framework for medical data mining

Ethical use of data in healthcare decisions

How to make use of data that may be inaccurate in systematic ways

What makes a good research question and how to construct a data mining workflow answer it

Skills you'll gain

Data Ethics

Medical Imaging

Data Mining

Text Mining

Health Informatics

Health Disparities

Clinical Data Management

Data Processing

Data Collection

Electronic Medical Record

Medical Records

Clinical Research

Health Care

Unstructured Data

Feature Engineering

Data Manipulation

There are 8 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.

Data available from Healthcare systems

Representing time, and timing of events, for clinical data mining

Creating analysis ready datasets from patient timelines

Handling unstructured healthcare data: text, images, signals

Putting the pieces together: Electronic phenotyping

Ethics

Course Conclusion