@Carsonlam 1 year ago
https://pubmed.ncbi.nlm.nih.gov/35704370/ When you train your neural network on many related tasks (#EHR time-series prediction tasks) simultaneously, it trains faster and improves the AUROC #medicalinformatics #multitasklearning #deeplearning #machinelearning #healthcare #datascience
@JerryQu2 4 years ago
For the #MachineLearning community out there. The White House and a coalition of leading research groups, released 10 tasks on Kaggle 4 days ago to help generate insights for the medical community. I'll be dedicating time to this! https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
@SwissCognitive 5 years ago
This new technique could improve #MachineLearning tasks in protein design, drug testing, and other applications. #ComputerScience #Biology #Medicine #DrugDevelopment http://ow.ly/mtWx30oaNav
@kdnuggets 5 years ago
state-of-the-art in #AI, #MachineLearning - 530 leaderboards • 974 tasks • 712 datasets • 9205 papers with code - Computer Vision - Natural Language Processing - Medical - Speech and more https://buff.ly/2RxMgev
@LauraBBalzer 5 years ago
What is your favorite resource on #DataScience as it relates to your work (#epidemiology, #medicine, #stats)? I'm a fan of @_MiguelHernan & co: "Data science is science's second chance to get causal inference right: A classification of data science tasks" https://arxiv.org/abs/1804.10846