Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models

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• Finished

  INTERVENE: International consortium for integrative genomics prediction

  Kaski, S. (Principal investigator), Moen, H. (Project Member), Cui, T. (Project Member), Raj, V. (Project Member), Safinianaini, N. (Project Member) & Wharrie, S. (Project Member)

  01/01/2021 → 31/12/2025

  Project: EU H2020 Framework program

  • Deep Learning Method 100%
  • Large Language Model 60%
  • Neural Network 47%
  • Machine Learning 42%
  • Learning System 42%

• DATALIT: Data Literacy for Responsible Decision-Making

  Marttinen, P. (Principal investigator), Tiwari, P. (Project Member), Kumar, Y. (Project Member), Raj, V. (Project Member), Ojala, F. (Project Member), Gröhn, T. (Project Member), Pöllänen, A. (Project Member), Honkamaa, J. (Project Member) & Ji, S. (Project Member)

  01/10/2020 → 30/09/2023

  Project: RCF SRC (STN)

  • Deep Learning Method 100%
  • Neural Network 86%
  • Machine Learning 45%
  • Learning System 45%
  • Feature Extraction 40%

• -: Finnish Center for Artificial Intelligence

  Kaski, S. (Principal investigator)

  01/01/2019 → 31/12/2022

  Project: Academy of Finland: Other research funding

  • Reinforcement Learning 100%
  • Learning System 89%
  • Machine Learning 85%
  • Bayesian 75%
  • Approximation (Algorithm) 64%

• Computational models and methods for deciphering evolutionary patterns in bacterial genomic data

  Marttinen, P. (Principal investigator), Ojala, F. (Project Member), Rissanen, S. (Project Member), Järvenpää, M. (Project Member) & Väärä, T. (Project Member)

  01/09/2018 → 31/08/2020

  Project: Academy of Finland: Other research funding

  • Data Record 100%
  • Scalability 100%
  • Neural Network 100%
  • Electronic Health Record 100%
  • Performance Model 50%

• eMOM: CleverHealth Network: eMOM GDM -Project

  Marttinen, P. (Principal investigator), Hizli, C. (Project Member), Zhang, G. (Project Member), Väärä, T. (Project Member) & Ashrafi, R. (Project Member)

  05/02/2018 → 31/01/2023

  Project: Business Finland: Other research funding

  • Deep Learning Method 100%
  • Residual Neural Network 74%
  • Support Vector Machine 64%
  • Bidirectional Encoder Representations From Transformers 61%
  • Artificial Intelligence 51%

• -: Intelligent Crop Production: Data-integrative, Multi-task Learning Meets Crop Simulator

  Mamitsuka, H. (Principal investigator), Hiremath, S. (Project Member), Honkamaa, J. (Project Member), Pöllänen, A. (Project Member), Güvenç Paltun, B. (Project Member), Nariman Zadeh, H. (Project Member), Ji, S. (Project Member), Ojala, F. (Project Member), Proll, M. (Project Member), Strahl, J. (Project Member) & Rissanen, S. (Project Member)

  01/01/2018 → 31/12/2022

  Project: Academy of Finland: Other research funding

  • Neural Network 100%
  • Deep Learning Method 81%
  • Residual Neural Network 60%
  • Data Source 60%
  • Support Vector Machine 52%

• Computational models and methods for deciphering evolutionary patterns in bacterial genomic data

  Marttinen, P. (Principal investigator), Poyraz, O. (Project Member) & Kumar, Y. (Project Member)

  01/09/2015 → 31/08/2020

  Project: Academy of Finland: Other research funding

  • Neural Network 100%
  • Expert Knowledge 66%
  • Elicitation 66%
  • Leaning Parameter 55%
  • Prediction Accuracy 44%