Joseph Futoma
Apple (United States)(US)
Publications by Year
Research Areas
Machine Learning in Healthcare, Sepsis Diagnosis and Treatment, Statistical Methods and Inference, Statistical Methods and Bayesian Inference, COVID-19 epidemiological studies
Most-Cited Works
- → The myth of generalisability in clinical research and machine learning in health care(2020)395 cited
- → A comparison of models for predicting early hospital readmissions(2015)284 cited
- → Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study(2019)206 cited
- → "The human body is a black box"(2020)171 cited
- → Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission(2020)136 cited
- → Machine learning for early detection of sepsis: an internal and temporal validation study(2020)101 cited
- → An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection(2017)75 cited
- → Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier(2017)66 cited
- → It’s complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US(2021)32 cited