2 citations · 3 across the 3 of their papers we have counts for
3 papers
Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis
Ljubomir Buturovic, Michael Mayhew, Roland Luethy +13
We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosis of acute infections and sepsis in emergency departments. Our solution consists o…
Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality
Michael B. Mayhew, Elizabeth Tran, Kirindi Choi +4
Acute infection, if not rapidly and accurately detected, can lead to sepsis, organ failure and even death. Current detection of acute infection as well as assessment of a patient's…
Searching for Synergism Among Combinations of Drugs of Abuse and the Use of Isobolographic Analysis
Ronald J. Tallarida, Uros Midic, Neil S. Lamarre +1
It is well known that individuals who abuse drugs usually use more than one substance. Toxic consequences of single and multiple drug use are well documented in the Treatment Episo…