@adaihueze 3 years ago
I built a heart disease binary classification model based on some common factors and causatives. The article can be found here => https://lnkd.in/d94wfrP #Health #medicine #MachineLearning #DataScience #WomenWhoCode #100DaysOfCode #CodeNewbies #womenintech #WomenInSTEM
@kmborgwardt 3 years ago
Getting ready for an invited talk on "#MachineLearning in #Medicine" at the Joint 2020 Meeting of the Swiss Society for Infectious Diseases (#SSI) & the Swiss Society for Hospital Hygiene (#SSHH) https://www.meeting-com.ch/fileadmin/user_upload/programme_pdf/Programme_2020/SSI-SSHH_Program_2020.pdf Great to see a bridge being built between these fields!
@SwearyStats 4 years ago
Good news everyone! I've just built the @NHSNSS's (with @DataLabScotland ) Synthetic Medical Data System, alpha version. I'm looking for people to check the code and play around with it/feed back :D #Community 1/2 #Data #Innovation #DataScience #Medical #MachineLearning #AI https://t.co/UA6IL0QGI1
@HubMobileApps 4 years ago
⚕️ @HubMobileApps can be coupled with Modern #MedTech. ✔️@HubMobileApps are built on #ArtificialIntelligence - #AI and #MachineLearning, that can be coupled with #DeepLearning and #MachineLearning #MedicalImaging technology. @HubBucket @HubBucketENG @HubBucketSYS @HubCentral_SI https://t.co/w1Feh9jYDr
@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
@engadget.com 5 years ago
'Robot chemist' could use AI to speed up medical breakthroughs
@engadget.com 5 years ago
IBM built a handheld counterfeit goods detector