The Importance of Synthetic Data within the Health Informatics Field
Manage episode 337853253 series 3369221
In this podcast episode, I talk about the advantages and disadvantages of using synthetic data (an artificial copy of the original dataset) and its future impact within the health informatics field.
Resources:
Simulacrum : https://simulacrum.healthdatainsight.org.uk/using-the-simulacrum/
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software: https://www.nature.com/articles/s41746-020-00353-9
How do you do pioneering research without ever seeing the data? : https://digital.nhs.uk/blog/data-points-blog/2021/how-do-you-do-pioneering-research-without-ever-seeing-the-data
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Source: https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/analytics-translator
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Welcome to the Health Analytic Insights Podcast. This podcast is ALL about creating a community of like-minded individuals who are passionate about the field of health informatics. I hope to share information and advice in topics such as health analytics, digital health, biomedical engineering and data visualization in healthcare and in exchange I would love to hear from you DEAR listener about your experience and interest in this field, you can drop me a line at [email protected]. Sign up to the newsletter and get your FREE guide to starting your career in health informatics here.
DISCLAIMER: The views expressed on this podcast are my own and do not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated. The views expressed by the guests on this show are their own and may or may not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated.
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