@Michael_D_Moor 2 years ago
Preprint alert! Interested in #MachineLearning in #medicine and #sepsis? We developed and validated a #DeepLearning model for predicting sepsis across 5 ICU databases from 3 countries featuring 156k ICU stays and 783 patient years worth of monitoring data. A 🧵. 1/n https://t.co/4RL3UaXYIY
@PGCgenetics 3 years ago
Predicting the likelihood of future #psychiatricdisorders based on training a #MachineLearning #ML #AI model using a handful of genetic variants is unsound science, and likely to lead to medical discrimination. Thread 1/9. Preprint: https://bit.ly/2GSjiq6
@venturebeat.com 3 years ago
Researchers aim to measure the impact of imprecise medical data on AI predictions
@LabSchultze 3 years ago
Our new preprint is out! Decentralized and privacy-protecting disease prediction using #swarmlearning, the way forward for collaborative precision medicine. Awesome collaboration with @HPE! #COVID19 #machinelearning #blockchain https://www.biorxiv.org/content/10.1101/2020.06.25.171009v1
@slashgear.com 4 years ago
Rare coronavirus case appears to stay infective 49 days in early preprint report
@dngman 5 years ago
Always wondered how hypothesis tests and out-of-sample predictions come together (or don't)? Our new preprint https://www.biorxiv.org/content/early/2018/05/21/327437 looks at this issue in more than 100k simulations and empirical analysis of several medical datasets. #MachineLearning #statistics #Python #rstats https://t.co/JXmmHe9ntO