A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data

23 October 2020

Papers citing "A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data"

27 / 27 papers shown

Title
Evaluating Time Series Models with Knowledge Discovery Li Zhang AI4TS 62 0 0 19 Mar 2025
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics L. Zheng Zhengyang Li Chang Dong W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen AI4TS 30 1 0 16 Oct 2024
Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records Zoe Hancox S. Kingsbury Andrew Clegg Philip G. Conaghan Samuel D. Relton AI4CE 18 1 0 10 Sep 2024
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records Zekai Wang Tieming Liu B. Yao 33 0 0 30 Jun 2024
Review of Data-centric Time Series Analysis from Sample, Feature, and Period Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 43 0 0 24 Apr 2024
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction Jarrod Mau Kevin Moon PINN AI4TS 16 0 0 09 Feb 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 73 15 0 08 Jan 2024
Curricular and Cyclical Loss for Time Series Learning Strategy Chenxi Sun Hongyan Li Moxian Song D. Cai linda Qiao 30 1 0 26 Dec 2023
Curriculum Design Helps Spiking Neural Networks to Classify Time Series Chenxi Sun Hongyan Li Moxian Song Derun Can linda Qiao 29 0 0 26 Dec 2023
Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health Jiuchen Zhang Fei Xue Qi Xu Jung‐Ah Lee Annie Qu 11 3 0 21 Nov 2023
Two-Stage Aggregation with Dynamic Local Attention for Irregular Time Series Xingyu Chen Xiaochen Zheng Amina Mollaysa Manuel Schürch Ahmed Allam Michael Krauthammer AI4TS 22 1 0 13 Nov 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 37 112 0 16 Aug 2023
Unsupervised Representation Learning for Time Series: A Review Qianwen Meng Hangwei Qian Yong Liu Yonghui Xu Zhiqi Shen Li-zhen Cui AI4TS 30 17 0 03 Aug 2023
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction I. Deznabi M. Fiterau AI4TS 30 5 0 16 Jun 2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers Jing Xiao Leonie Basso Wolfgang Nejdl Niloy Ganguly Sandipan Sikdar AI4TS 26 3 0 11 May 2023
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping Hamid Ghaderi Brandon Foreman Amin Nayebi Sindhu Tipirneni Chandan K. Reddy V. Subbian AI4TS 13 12 0 27 Feb 2023
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking Maksims Kazijevs Manar D. Samad BDL AI4TS 35 32 0 10 Feb 2023
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks Chenxi Sun Hongyan Li Moxian Song D. Cai B. Zhang linda Qiao 21 8 0 06 Oct 2022
Stop&Hop: Early Classification of Irregular Time Series Thomas Hartvigsen Walter Gerych Jidapa Thadajarassiri Xiangnan Kong Elke A. Rundensteiner AI4TS 32 13 0 21 Aug 2022
COPER: Continuous Patient State Perceiver V. Chauhan Anshul Thakur Odhran O'Donoghue David A. Clifton AI4TS OOD 30 5 0 05 Aug 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 29 32 0 14 Mar 2022
TACTiS: Transformer-Attentional Copulas for Time Series Alexandre Drouin Étienne Marcotte Nicolas Chapados AI4TS 96 37 0 07 Feb 2022
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data Chenxi Sun linda Qiao Moxian Song Yanxiu Zhou Yongyue Sun D. Cai Hongyan Li AI4TS 29 23 0 02 May 2021
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network Kai Zhang Siddharth Karanth B. Patel R. Murphy Xiaoqian Jiang OOD 26 4 0 01 Feb 2021
Time series cluster kernels to exploit informative missingness and incomplete label information Karl Øyvind Mikalsen C. Soguero-Ruíz F. Bianchi A. Revhaug Robert Jenssen CML 12 14 0 10 Jul 2019
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 210 1,897 0 06 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015