Cardiovascular disease (CVD) outcomes and associated risk factors in a medicare population without prior CVD history: an analysis using statistical and #MachineLearning algorithms @LHCHFT @LJMU_Health @LivHPartners @LivuniILCaMS https://link.springer.com/article/10.1007/s11739-023-03297-6 https://t.co/EF1kSYN78v
2019 was a big year for #AI in health care. Our team developed #MachineLearning algorithms to predict risk of #opioid overdose among #medicare beneficiaries. Look for more from this project in 2020! @jennyciganic @AJ_Gordon @walidgellad @JAMANetworkOpen https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2728625
#MachineLearning techniques show promise for supporting medical decisions: By quickly assessing risk, new algorithms may help triage patients and inform clinical decisions https://www.sciencedaily.com/releases/2018/02/180228085357.htm
