Alternatives and similar repositories for time_aware_attention:

Users that are interested in time_aware_attention are comparing it to the libraries listed below

• HiTANet2020 / HiTANet
  ☆37Updated 5 years ago
• Yuqi92 / deep-patient-representation-mimiciii-multitask
  Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction
  ☆32Updated 5 years ago
• yanboxu / RAIM
  Recurrent Attentive and Intensive Modeling of Multimodal Patient Monitoring Data
  ☆17Updated 5 years ago
• sajaddarabi / TAPER-EHR
  Patient Code & Text Representation Learning
  ☆20Updated last year
• BorgwardtLab / mgp-tcn
  Sepsis Prediction on MIMIC
  ☆69Updated 3 years ago
• tanlab / ConvolutionMedicalNer
  ☆12Updated 2 years ago
• jygao97 / CAMP
  pytorch implementation for the CAMP model in ICDM 2019 "CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare"
  ☆15Updated 5 years ago
• mmr12 / MGP-AttTCN
  MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
  ☆24Updated last year
• MLD3 / FIDDLE-experiments
  Experiments applying FIDDLE on MIMIC-III and eICU. https://doi.org/10.1093/jamia/ocaa139
  ☆24Updated 2 years ago
• ZhiGroup / CovRNN
  ☆12Updated 3 years ago
• yinchangchang / TAME
  KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder
  ☆18Updated 4 years ago
• mostafaalishahi / eICU_Benchmark
  ☆37Updated 2 years ago
• Accountable-Machine-Intelligence / ConCare
  Code for - ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context (AAAI-2020)
  ☆31Updated 3 years ago
• ZhiGroup / pytorch_ehr
  source codes based on PyTorch to analyze EHR
  ☆134Updated last year
• acampillos / sepsis-prediction
  Early prediction of sepsis with gradient boosting (XGBoost) and deep learning (LSTM and GRU) using MIMIC-III data.
  ☆14Updated 2 years ago
• cse6250 / SepsisPrediction
  This is the final project of the CSE6250. We mainly use the MIMIC-III data to predict the sepsis.
  ☆13Updated 5 years ago
• Accountable-Machine-Intelligence / AdaCare
  Source code for AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibrati…
  ☆23Updated 4 years ago
• weimin17 / Multimodal_Transformer
  A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
  ☆32Updated 2 years ago
• apakbin / ICU72hReadmissionMIMICIII
  Prediction of ICU Readmissions Using Data at Patient Discharge using MIMICIII Database
  ☆26Updated 3 years ago
• 3778 / icd-prediction-mimic
  Predicting ICD Codes from Clinical Notes
  ☆57Updated 4 years ago
• anhtuan5696 / TPAMTL
  ☆12Updated last year
• ratschlab / circEWS
  circEWS public code
  ☆67Updated 4 months ago
• Jeffreylin0925 / MIMIC-III_ICU_Readmission_Analysis
  This is the source code for the paper 'Analysis and Prediction of Unplanned Intensive Care Unit Readmission'
  ☆31Updated 6 years ago
• kaggarwal / ClinicalNotesICU
  ☆24Updated 5 years ago
• USC-Melady / Benchmarking_DL_MIMICIII
  ☆127Updated 5 months ago
• mmcdermott / comprehensive_MTL_EHR
  Source code for a comprehensive analysis of MTL over EHR timeseries data.
  ☆37Updated last year
• ruoyu-chen / dl4ehr_papers
  Deep Learning for EHR papers
  ☆34Updated 5 years ago
• OwlCitizen / TContext-GGAN
  The official implementation of TContext-GGAN
  ☆15Updated 2 years ago
• deepak-kaji / mimic-lstm
  This is a complete preprocessing, model training, and figure generation repo for "An attention based deep learning model of clinical even…
  ☆77Updated 10 months ago