Medical Technology

@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

@MedicalFrank 3 years ago

D78 of #100daysofpython #100daysofcoding #100daysofcode: Continuing my learning how to use 2D arrays! Now I am learning how to use the built-in functions #Python #data #DataScience https://t.co/gLPxZ2XnCh

@WolframResearch 4 years ago

Investigate #Coronavirus epidemic & patient medical data using built-in #Wolfram Language functionality. Join us today @ 11AM CST for a live #DataScience exploration with Rory Foulger & Wolfram High School Summer Camp Alum, Jessica Shi: https://www.twitch.tv/wolfram https://t.co/VyI87TjpdW

@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

@HubBaseDB 4 years ago

✍ #DeepLearning Tool Kit - #DLTK is an #OpenSource library that makes #DeepLearning in #MedicalImaging easier. #DLTK is built on @TensorFlow #DLTK website: ️ https://dltk.github.io/ @HubBaseDB @HubGenomics @HubBucket @HubMedX #Statistics #DataScience #Biomedical #STEM https://t.co/MT102YslO8

@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