.@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
New in @PLOSONE: CP3's @walidgellad and former CP3 postdoc @jennyciganic led development of a #machinelearning algorithm to predict risk of developing #opioid use disorder in #Medicare. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235981 https://t.co/B2Wbq8GNld
#ArtificialIntelligence used to predict which #coronavirus patients are at greater risk of ARDS https://bit.ly/2JFUUGj @euronews #Healthcare #DataScience #DeepLearning #Healthtech #Medicine #BigData #Analytics #Virus #MachineLearning #DigitalTransformation #COVIDー19 #AI https://t.co/NBbrlGKMKt