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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
@AaltoUniversity 2 years ago
A new method for generating synthetic data could solve a major problem for research that depends on access to sensitive data - can help us develop better medical treatments and drugs without privacy worries. #MachineLearning https://twitter.com/FCAI_fi/status/1402197423435530242
@JudyCho7 3 years ago
Writing a grant with no knowledge of biology, statistics or medicine, lacking a clear premise, but stating #MachineLearning a lot; such grants require access to lots of data you don't understand how to clean, or what is being measured. I have reviewed a few of these. https://twitter.com/girish_nadkarni/status/1353859126011568129