Business Application of Machine Learning and Artificial Intelligence in Healthcare
This Specialization will provide learners with the knowledge and skills to recognize key shifts in the industry and to have an agile perspective on how these shifts might impact their organizations. Learners will be exposed to the key drivers in the global healthcare industry today so they might apply what they have learned to help their organizations.
Created by: Craig Johnson
Quality Score
Overall Score : 60 / 100
Course Description
Instructor Details
- 3.0 Rating
3 Reviews
Craig Johnson
Craig is a thought leader, innovator, entrepreneur and part time faculty in the Healthcare Informatics graduate program focused on the business application of machine learning and decision support in healthcare. He started his career as a data scientist at NASA's Jet Propulsion Laboratory where he developed a communication planning application for deep spacecraft supporting the Pioneer, Voyager and Galileo missions. He brought that experience to healthcare and applied it in various settings applying technology to complex prediction, scheduling, planning, resource allocation and campaign management problems. Craig is currently co-founder and Chief Science/Technology Officer at Decision Point Healthcare and founder and principal consultant at Synthesis Health Systems.
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Reviews
By Saurabh B on 14-Jul-19
The instructor is so depersonalised and goes on like an automaton that you start yawning within minutesHe does not even take pregnant pauses. its like he needs to read 500 words in 60 seconds so no undulation of speech. Lastly, examples are good but could have been made deliberate and to stand out with better animation etc. right now everything in the course is like a homogenous blob.
By Ali C on 5-Jun-19
Very interesting topic and covers the basics right. However, there are a LOT OF repetitions throughout the course which could have been better managed with a simpler redesigned curriculum.As well as the assignments are NOT reviewed on time, prolonging the duration of the course; even though my submissions were on time..
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