.@georgeinstitute researchers led by @acampain will use #BigData to help identify and support #heartattack survivors least likely to adhere to medication, reducing their risk of future events. Read more: http://bit.ly/3pL4BGx https://t.co/KDSmENtuRK
Application of #MachineLearning models continue to show real promise in clinical medicine. #DeepLearning recurrent neural network models outperformed traditional linear regression models to identify patients with #HCV at high risk of developing #HCC. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770062?guestAccessKey=62adc2c2-bf09-495e-a501-1a20d52bf098&utm_source=jps&utm_medium=email&utm_campaign=author_alert-jamanetwork&utm_content=author-author_engagement&utm_term=1m https://t.co/vWqofKqqBi
Medical errors common before cardiac arrest on wards mostly diagnosis delay (Hodgetts 2002) some #IHCA get #ICU late increasing morbidity/mortality may #AI #DataScience identify high-risk pts? check @CritCareMed papers #FOAMcc Churpek M #ESICMdata20 @ESICM #MachineLearning https://t.co/k9OmyqKJ0t
