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David Sontag
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Software
Machine learning
Python (Theano)
code for learning Deep Markov Models
(AAAI '17)
Torch
code for learning character-aware neural language models
(AAAI '16)
Python
code for learning topic models
(ICML '13). See also
Mallet-compatible Java implementation
Bayesian network structure learning
(UAI '13).
C++
code for MAP inference in graphical models
(UAI '12).
Readme
file
Health care
Anchor Explorer
Machine learning algorithm and user interface for learning to predict clinical state variables
without having to label data
(
AMIA 2014
,
JAMIA 2016
)
PatientViz
Tool for visualizing single patient longitudinal health data (diagnosis codes, medications, procedures, laboratory test results)
(
AMIA 2015 abstract
)
Embedding Medicine
Low-dimensional representations of thousands of medical concepts: diagnoses, medications, labs. Like word embeddings, but learned from medical claims
(
AMIA CRI 2016
)