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@raamana_ 4 years ago
tips to review #MachineLearning papers, esp. in #medicine & #neuroscience: -ask for a flowchart from raw data to final metrics! -don't assume CV (like repeated holdout) and advanced metrics (AUC) are implemented correctly. If you don't follow it drunk, they're likely wrong!
@Rosenchild 4 years ago
I read a ton of #Research Papers, #Articles, #Books, etc., that includes topics on: #Healthcare #Medicine #HealthIT #HealthTech #MedTech #mHealth #ArtificialIntelligence #MachineLearning #DeepLearning #BigData #CloudComputing #EdgeComputing #OpenSource #Software AND MORE https://t.co/hIFK6HW4O0
@EffyVayena 5 years ago
Check out new papers on #MachineLearning in #medicine and #healthcare including ⁦our perspective with ⁦@CohenProf⁩ @a_blasimme “Machine learning in medicine: Addressing ethical challenges” ⁦@PLOSMedicine⁩ ⁦@ETH_en⁩ ⁦⁦ #aiethics https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002689