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