Retour à Fundamentals of Machine Learning for Healthcare
Avis et commentaires pour d'étudiants pour Fundamentals of Machine Learning for Healthcare par Université de Stanford
187 évaluations
À propos du cours
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles.
This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare.
The course will empower those with non-engineering backgrounds in healthcare, health policy, pharmaceutical development, as well as data science with the knowledge to critically evaluate and use these technologies.
Co-author: Geoffrey Angus
Contributing Editors:
Mars Huang
Jin Long
Shannon Crawford
Oge Marques
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
8 sept. 2020
Amazing course teaching the innumerous opportunities in the healthcare sector and the application of AI in the same. Beautifully drafted course with intriguing tutorials and exercises.
1 avr. 2021
This was a great course, the presenters really gave a clear view about the differences which could happen when working with health related data set. Very well done,
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51 - 54 sur 54 Avis pour Fundamentals of Machine Learning for Healthcare
par liz a
•2 janv. 2021
it was a very interesting course and look forward to taking more.
par Dasa G
•26 déc. 2020
Great instructors. The mathematical part threw me off as an MD.
par Deepika P
•10 janv. 2022
the course can be made more better and effective y including real-world healthcare case studies
par Zakir S
•13 nov. 2020
I was hoping to learn with hands on assignments but unfortunately it was mostly lectures.
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