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

Chenxi Sun, Shenda Hong, Moxian Song, and Hongyan Li. https://arxiv.org/abs/2010.12493

Irregularly Sampled Medical Time Series Datasets

Name	Folder
Sepsis early diagnosis	/data/sepsis_data
COVID-19 mortality classification	/data/covid19_data
MIMIC-III in-hospital mortality classification	/data/mimiciii_inhospital_mortality_data
ICU mortality data	/data/icu_mortality_data
Synthetic patient data	/data/emrbots_data

Other Time Series Datasets

(Can be regular or irregular data)

Name	Folder	Link
SILSO solor dataset	/other_data/solor_data	https://lasp.colorado.edu/lisird/data/international_sunspot_number
USHCN weather dataset	/other_data/usa_weather_data	https://www.ncei.noaa.gov/products/land-based-station/us-historical-climatology-network
Synthetic medical records	/data/emrbots_data	http://www.emrbots.org
Chaotic system datasets	/other_data/chaotic_system_data
UCR comprehensive datasets	/	https://www.cs.ucr.edu/~eamonn/time_series_data_2018
UEA comprehensive datasets	/	http://www.timeseriesclassification.com/index.php
Forecasting comprehensive datasets	/	https://github.com/thuml/Time-Series-Library
MIT-BIH arrhythmia ECG dataset	/	https://physionet.org/content/mitdb/1.0.0/
MIT-BIH ST change ECG dataset	/	https://physionet.org/content/stdb/1.0.0/
European ST-T ECG dataset	/	https://physionet.org/content/edb/1.0.0/
Sudden cardiac death holter ECG dataset	/	https://physionet.org/content/sddb/1.0.0/

Related Works

ID	Year	Title	Method	Venue
1	2016	Directly modeling missing data in sequences with rnns: Improved classification of clinical time series	RNN	MLH
2	2016	Automatic classification of irregularly sampled time series with unequal lengths: A case study on estimated glomerular filtration rate	/	MLSP
3	2017	Patient subtyping via time-aware lstm networks	T-LSTM	KDD
4	2017	Multivariate time series imputation with generative adversarial networks	RNN	BIGCOMP
5	2017	A bio-statistical mining approach for classifying multivariate clinical time series data observed at irregular intervals	RNN	EXPERT SYST APPL
6	2018	Recurrent neural networks for multivariate time series with missing values	GRU-D	Sentific Reports
7	2018	Bidirectional recurrent imputation for time series	Brits	NIPS
8	2018	Hierarchical deep generative models for multi-rate multivariate time series	MR-HDMM	ICML
9	2018	Multivariate time series imputation with generative adversarial networks	GAN	NIPS
10	2018	missing data imputation using generative adversarial nets	GAIN	ICML
11	2018	Medical missing data imputation by stackelberg gan	stackelberg	ICML
12	2019	Interpolation-prediction networks for irregularly sampled time series	IPN	ICLR
13	2019	Temporal-clustering invariance in irregular healthcare time series	cluster	/
14	2019	Learning from incomplete data with generative adversarial networks	misGAN	ICLR
15	2019	Multi-resolution networks for flexible irregular time series modeling	multi-fit	/
16	2019	A comparison between discrete and continuous time bayesian networks in learning from clinical time series data with irregularity	BN	/
17	2020	Joint modeling of local and global temporal dynamics for multivariate time series forecasting with missing values	LGnet	AAAI
18	2020	Dual-attention time-aware gated recurrent unit for irregu- lar multivariate time series	DATA-GRU	AAAI
19	2020	A survey of missing data imputation using generative adversarial networks	GAN	ICAIIC
20	2020	Medical time-series data generation using generative adversarial networks	GAN	AIM
21	2020	Kernels for time series with irregularly-spaced multivariate observations	Kernel	/
22	2020	Explainable uncertainty-aware convolutional recurrent neural network for irregular medical time series	TNNLS	/

Category of related Works

Conclusion of related Works

Sturcture of EHRs

Missing rates of the real-world EHRs datasets

Sturctures of RNN-based methods