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A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal
  Data: Learning and Inference
v1v2 (latest)

A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference

Journal of machine learning research (JMLR), 2016
18 December 2016
Ahmed Alaa
M. Schaar
ArXiv (abs)PDFHTML

Papers citing "A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference"

12 / 12 papers shown
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
Unscrambling disease progression at scale: fast inference of event permutations with optimal transportNeural Information Processing Systems (NeurIPS), 2024
P. Wijeratne
Daniel C. Alexander
250
1
0
18 Oct 2024
A Foundational Framework and Methodology for Personalized Early and
  Timely Diagnosis
A Foundational Framework and Methodology for Personalized Early and Timely Diagnosis
Tim Schubert
Richard W. Peck
Alexander Gimson
Camelia Davtyan
M. Schaar
AI4CE
215
2
0
26 Nov 2023
Clairvoyance: A Pipeline Toolkit for Medical Time Series
Clairvoyance: A Pipeline Toolkit for Medical Time SeriesInternational Conference on Learning Representations (ICLR), 2023
Daniel Jarrett
Chang Jo Kim
Ioana Bica
Zhaozhi Qian
A. Ercole
M. Schaar
AI4TS
344
42
0
28 Oct 2023
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks
  for Medicine
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine
Evgeny S. Saveliev
M. Schaar
262
7
0
28 Jan 2023
Forward-Backward Latent State Inference for Hidden Continuous-Time
  semi-Markov Chains
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov ChainsNeural Information Processing Systems (NeurIPS), 2022
Nicolai Engelmann
Heinz Koeppl
86
0
0
17 Oct 2022
Bayesian inference for continuous-time hidden Markov models with an
  unknown number of states
Bayesian inference for continuous-time hidden Markov models with an unknown number of statesStatistics and computing (Stat Comput), 2021
Yu Luo
D. Stephens
139
11
0
20 Jun 2021
Predicting Clinical Deterioration in Hospitals
Predicting Clinical Deterioration in Hospitals
Laleh Jalali
Hsiu-Khuern Tang
Richard H. Goldstein
Joaqun Alvarez Rodrguez
OOD
72
1
0
11 Feb 2021
Learning transition times in event sequences: the Event-Based Hidden
  Markov Model of disease progression
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression
P. Wijeratne
Daniel C. Alexander
164
2
0
02 Nov 2020
Fast and Flexible Temporal Point Processes with Triangular Maps
Fast and Flexible Temporal Point Processes with Triangular MapsNeural Information Processing Systems (NeurIPS), 2020
Oleksandr Shchur
Nicholas Gao
Marin Bilovs
Stephan Günnemann
391
40
0
22 Jun 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise
  Influence Functions
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
Ahmed Alaa
M. Schaar
UQCVBDL
313
26
0
20 Jun 2020
Forecasting Individualized Disease Trajectories using Interpretable Deep
  Learning
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning
Ahmed Alaa
M. Schaar
149
12
0
24 Oct 2018
Predicting Acute Kidney Injury at Hospital Re-entry Using
  High-dimensional Electronic Health Record Data
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data
Samuel J. Weisenthal
C. Quill
S. Farooq
Henry A. Kautz
M. Zand
OOD
176
15
0
25 Jul 2018
1
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