@sparkfun 2 years ago
Project highlight: An ECG Analyzer powered by @EdgeImpulse and #machinelearning that classifies heart rate and rhythm data with >90% accuracy, offering important #medical access for rural areas. https://bit.ly/3pAeU1b #DIY #assistivetech https://t.co/VlmzkHBKqF
@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