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Avis et commentaires pour d'étudiants pour Introduction to Clinical Data par Université de Stanford

4.6
étoiles
145 évaluations
29 avis

À propos du cours

This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we leverage healthcare data to make decisions about patient care. 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....

Meilleurs avis

OA
14 mars 2021

The course program is very intuitive and challenging. Overall, it is a very good course and I will recommend it to anyone interested in understanding clinical data, in particular for data scientists.

YX
4 nov. 2020

Very clear and well-organized course. I have learned quite a bit about the different types of clinical data, why they are important, and how to transfer them to analytical useable data sets.

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26 - 29 sur 29 Avis pour Introduction to Clinical Data

par Mohamed D E B

31 déc. 2020

Great introduction to Clinical Data Characteristics

par Sauranshu P

10 juil. 2021

Very intensive

par Manjunatha Y

25 oct. 2021

Good topic

par David R V

27 mars 2021

There was some interesting information in this course but it was too basic and stayed too basic. Really, if you added up all the 1 and 2 minute videos for any given week, you wouldn't even get a single good lecture out of it.