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
Meredith Case, internal medicine resident, Columbia University Medical Center: “The deluge is here. Our ICU is completely full with intubated Covid patients. We are rapidly moving to expand capacity.” 6/ https://t.co/BT98Tt7Hzq
Comprehensive meta-analysis from @ESICM data science in Intensive Care Medicine: #MachineLearning can predict sepsis with AUC between 0.68–0.99 (ICU), 0.96–0.98 (hospital) and 0.87-0.97 (ED) But only 3 clinical implementations #TranslationGap https://doi.org/10.1007/s00134-019-05872-y https://t.co/HX9Gln3pAY
