most citedDevelopment of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2024★ 2 cited

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…

cs.LG2020

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…