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@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
@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