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Live Virtual

JAMIA Journal Club Webinar - February 2022

Type:
Webinar
Credits:
1.00
CME
Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit Lead author Wonsuk Oh discusses this month's JAMIA Journal Club selection: Oh W, Jayaraman P, Sawant AS, Chan L, Levin MA, Charney AW, Kovatch P, Glicksberg BS, Nadkarni GN. Using sequence clustering [...]
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Live Virtual

JAMIA Journal Club Webinar - January 2022

Type:
Webinar
Gender-sensitive word embeddings for healthcare Lead author Shunit Agmon, MS, PhD(c), discusses this month's JAMIA Journal Club selection: Agmon S, Gillis P, Horvitz E, Radinsky K. Gender-sensitive word embeddings for healthcare [published online ahead of print, 2021 Dec 16]. J Am Med Inform Assoc. 2021;ocab279. doi:10.1093/jamia/ocab279 Read the abstract Author [...]
On Demand

JAMIA Journal Club Webinar - December 2021

Type:
Webinar
Predicting next-day discharge via electronic health record access logs Author You Chen, PhD, FAMIA discusses this month's JAMIA Journal Club selection: Zhang X, Yan C, Malin BA, Patel MB, Chen Y. Predicting next-day discharge via electronic health record access logs [published online ahead of print, 2021 Sep 30]. J Am [...]
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On Demand

JAMIA Journal Club Webinar - October 2021

Type:
Webinar
A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study Author Lisiane Pruinelli, PhD, MS, RN, FAMIA, discusses this month's JAMIA Journal Club selection: Pruinelli L, Zhou J, Stai B, et al. A likelihood-based convolution approach to estimate major health events in [...]
On Demand

JAMIA Journal Club Webinar - September 2021

Type:
Webinar
Credits:
1.00
CME
Identifying risk of opioid use disorder for patients taking opioid medications with deep learning Author Fusheng Wang, PhD, discusses this month's JAMIA Journal Club selection: Dong X, Deng J, Rashidian S, et al. Identifying risk of opioid use disorder for patients taking opioid medications with deep learning. J Am Med [...]