Joseph Futoma

发表

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Michael Gao, Sahil Sandhu, Elizabeth Alderton, 2019, JMIR medical informatics.

Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease

Katherine A. Heller, Joseph Futoma, Mark Sendak, 2016, UAI.

"The human body is a black box": supporting clinical decision-making with deep learning

Michael Gao, William Ratliff, Joseph Futoma, 2019, FAT*.

Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions pdf

Yao Liu, Emma Brunskill, Joseph Futoma, 2020, ICML.

Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning

Joseph Futoma, Finale Doshi-Velez, Muhammad A. Masood, 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs pdf

Finale Doshi-Velez, Joseph Futoma, Jianzhun Du, 2020, NeurIPS.

Scalable Modeling of Multivariate Longitudinal Data for Prediction of Chronic Kidney Disease Progression

Joseph Futoma, Mark Sendak, C. Blake Cameron, 2016 .

Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier

Katherine A. Heller, Joseph Futoma, Sanjay Hariharan, 2017, ICML.

An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection

Katherine A. Heller, Joseph Futoma, Nathan Brajer, 2017, MLHC.

POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning pdf

Finale Doshi-Velez, Michael C. Hughes, Joseph Futoma, 2020, AISTATS.

Learning to Treat Sepsis with Multi-Output Gaussian Process Deep Recurrent Q-Networks

Katherine A. Heller, Joseph Futoma, Mark Sendak, 2018 .

A comparison of models for predicting early hospital readmissions

Joseph Futoma, Jonathan Morris, Joseph Lucas, 2015, J. Biomed. Informatics.

Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data

Katherine A. Heller, Joseph Futoma, Mark Sendak, 2016, MLHC.

Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance pdf

Leon A. Gatys, Emily B. Fox, Andrew C. Miller, 2021, MLHC.

Prediction-Constrained POMDPs

Joseph Futoma, J. Futoma, Joseph D. Futoma, 2018 .

Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions

Yao Liu, Finale Doshi-Velez, Emma Brunskill, 2020, ICML.

Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.

Michael Gao, Joseph Futoma, Marshall Nichols, 2020, JAMA network open.

Machine learning for early detection of sepsis: an internal and temporal validation study

Michael Gao, Joseph Futoma, Marshall Nichols, 2020, JAMIA open.