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Joseph Futoma
Publication Activity (10 Years)
Years Active: 2016-2020
Publications (10 Years): 6
Top Topics
Gaussian Process
Human Body
Clinical Data
Hyperparameters
Top Venues
MLHC
CoRR
ICML
FAT*
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Publications
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Mark P. Sendak
,
Madeleine Clare Elish
,
Michael Gao
,
Joseph Futoma
,
William Ratliff
,
Marshall Nichols
,
Armando Bedoya
,
Suresh Balu
,
Cara O'Brien
"The human body is a black box": supporting clinical decision-making with deep learning.
FAT*
(2020)
Mark P. Sendak
,
Madeleine Clare Elish
,
Michael Gao
,
Joseph Futoma
,
William Ratliff
,
Marshall Nichols
,
Armando Bedoya
,
Suresh Balu
,
Cara O'Brien
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning.
CoRR
(2019)
Joseph Futoma
,
Sanjay Hariharan
,
Katherine A. Heller
,
Mark P. Sendak
,
Nathan Brajer
,
Meredith Clement
,
Armando Bedoya
,
Cara O'Brien
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection.
MLHC
(2017)
Joseph Futoma
,
Sanjay Hariharan
,
Katherine A. Heller
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier.
ICML
(2017)
Joseph Futoma
,
Mark P. Sendak
,
Blake Cameron
,
Katherine A. Heller
Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease.
UAI
(2016)
Joseph Futoma
,
Mark P. Sendak
,
Blake Cameron
,
Katherine A. Heller
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data.
MLHC
(2016)