Episode 0: Deep Phenotyping

Episode 0: Deep Phenotyping

In this first episode we introduce the podcast and then open with a discussion topic on deep phenotyping. We discuss a review paper on deep learning and also provide some time management advice for trainees and young faculty. We also cover some news items and preview a few upcoming conferences. Below are links to the websites we mentioned during the episode.

Health IT Week: https://www.healthitweek.org

Health data breaches paper: https://annals.org/aim/article-abstract/2751916/types-information-compromised-breaches-protected-health-information

Predicting food recalls paper: https://academic.oup.com/jamiaopen/advance-article/doi/10.1093/jamiaopen/ooz030/5543660

JAMIA Open highlights: https://academic.oup.com/jamiaopen/pages/year_one_highlights 

Deep learning review by Topol: https://www.ncbi.nlm.nih.gov/pubmed/30617339

Deep learning review by Ching et al.: https://www.ncbi.nlm.nih.gov/pubmed/?term=29618526

Pacific Symposium on Biomputing: https://psb.stanford.edu/

AMIA Symposium: https://www.amia.org/amia2019

AMIA Informatics Summit: https://www.amia.org/summit2019

The Fringe Hours book by Jessica Turner: https://www.amazon.com/Fringe-Hours-Making-Time-You/dp/0800723481