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    • Converting irregularly spaced time series, such as eletronic health records, into dataframes for tabular classification.
      Python
      MIT License
      22017Updated Nov 21, 2024Nov 21, 2024
    • 🌲 Monorepo for the PSYCOP research project. Prediction of disease from Electronic Health Records at Aarhus University.
      Python
      MIT License
      1302Updated Nov 19, 2024Nov 19, 2024
    • Machine learning utilities for the PSYCOP project.
      Python
      0700Updated Nov 18, 2024Nov 18, 2024
    • Feature generation for the T2D project
      Python
      MIT License
      0007Updated Sep 11, 2023Sep 11, 2023
    • care-ml

      Public
      CARE-ML: Predicting the use of restraint on psychiatric inpatients using EHRs and ML. Developed by sarakolding and signekb for their Master's Thesis.
      Python
      0000Updated Jun 1, 2023Jun 1, 2023
    • Python
      0000Updated May 12, 2023May 12, 2023
    • Code for taking a time-series and collapsing it. Also includes code for assessing data quality.
      Python
      0202Updated May 2, 2023May 2, 2023
    • Model evaluation utilities for the PSYCOP projects
      Python
      MIT License
      0012Updated May 1, 2023May 1, 2023
    • psycop-model-training

      Public archive
      Shared code for model training and evaluation.
      Python
      Other
      0113Updated May 1, 2023May 1, 2023
    • Code for "Lexical Stability of Psychiatric Clinical Notes from Electronic Health Records over a Decade"
      Python
      0000Updated Dec 29, 2022Dec 29, 2022
    • Generation of train-test-split.
      Python
      0000Updated Sep 1, 2022Sep 1, 2022
    • Examining the stability of diagnoses across the LPR2-LPR3 transition
      R
      0010Updated Apr 28, 2022Apr 28, 2022
    • Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
      Jupyter Notebook
      GNU General Public License v3.0
      29030Updated Jan 17, 2022Jan 17, 2022