Medical Technology

@ehsan7x 2 years ago

#TMLE workshop https://ehsanx.github.io/TMLEworkshop/ in R/Medicine Virtual Conference #rmedicine21 #epitwitter #causaltwitter #machinelearning #SuperLearner #rstats #statstwitter #DataScience https://t.co/sPfe1atlmP

@HPDSLab 3 years ago

We have a tool that does just this (extracting data and assembling it) for several different problems in medicine. Would love to get journal suggestions for receptive outlets. #MedTwitter #EpiTwitter #MachineLearning https://twitter.com/jonathanstray/status/1314633513832914944

@MHuberEcon 3 years ago

Our paper (with H Bodory,@lukaslaffers) on evaluating dynamic treatments (eg sequences of training programs or medical treatments) using #causalmachinelearning (see causalweight package for #rstats):https://arxiv.org/abs/2012.00370 #Econtwitter #causaltwitter #epitwitter #MachineLearning

@PWGTennant 3 years ago

In the viewpoint, we discuss two of the biggest claims made about the potential of #MachineLearning-powered precision medicine. 1) It will enable automated diagnoses with unprecedented accuracy 2) It will enable identification of the best therapies for individuals #EpiTwitter

@LauraBBalzer 4 years ago

Need reliable & up-to-date info on #COVID19? New @UCSFMedicine Grand Rounds. Rich w/ information #epitwitter #MedicalTwitter #statstwitter #AcademicTwitter #AcademicChatter #DataScience @EpiEllie @StatGirlLAM @lisabodnar @JuliaLMarcus @reichlab @AndrewALover @societyforepi https://twitter.com/Bob_Wachter/status/1245932527946088450

@rmkubinec 4 years ago

My draft showing how to analyze the influence of non-medical factors on #covid19 is up on Andrew Gelman's blog! #rstats #epitwitter #datascience https://twitter.com/StatModeling/status/1245490653615853568

@SteliosSerghiou 4 years ago

Amazing to see the benefit of randomized trials in alleviating poverty! Let this Nobel prize remind us of the, often forgotten these days, irreplaceable importance of experimentation and randomization in medicine #epitwitter #datascience https://www.nature.com/articles/d41586-019-03125-y

@PWGTennant 4 years ago

So grateful to @turinginst for supporting me. Without that, it'd be almost impossible to keep doing translational #DataScience like the #LeedsCausalSchool Really hope medical funders like @The_MRC, @NIHRresearch & @wellcometrust will one day also fund this stuff! #EpiTwitter https://t.co/U6FhBN1WHH

@erik_arnesen 4 years ago

Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item purchases and 1.1B medical prescriptions in London https://buff.ly/309I9Lt #epitwitter #nutritionepi #bigdata

@LauraBBalzer 5 years ago

Last ? from #DataScience 4 Public Health course- Who would you trust: a blackbox machine learning algorithm with 100% CV-prediction accuracy (AUROC=1) built with representative data OR a human medical provider (accuracy<100%; AUROC<1)? #epiTwitter #MachineLearning #SuperLearner