Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis

15 May 2017

Papers citing "Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis"

11 / 11 papers shown

Title
Learning Disease Progression Models That Capture Health Disparities Erica Chiang Divya Shanmugam Ashley N. Beecy Gabriel Sayer Nir Uriel Deborah Estrin N. Garg 70 0 0 20 Dec 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 36 1 0 09 Feb 2024
Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett Jinsung Yoon Ioana Bica Zhaozhi Qian A. Ercole M. Schaar AI4TS 29 35 0 28 Oct 2023
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 34 52 0 16 Jun 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift Vincent Jeanselme G. Martin Niels Peek M. Sperrin Brian D. M. Tom Jessica Barrett OOD 34 4 0 26 May 2022
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression Zhaozhi Qian W. Zame L. Fleuren Paul Elbers M. Schaar OOD 22 53 0 05 Jun 2021
Learning Multivariate Hawkes Processes at Scale Maximilian Nickel Matt Le 32 17 0 28 Feb 2020
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes Xubo Yue Raed Al Kontar 32 16 0 09 Mar 2019
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction Luchen Liu Jianhao Shen Ming Zhang Zichang Wang Jian Tang 16 44 0 13 Mar 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa M. Schaar 18 85 0 20 Feb 2018
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016