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kirilklein/README.md


I’m a Data Scientist and PhD Candidate focused on causal inference and large-scale machine learning for healthcare data.

πŸŽ“ Currently pursuing my PhD at University of Copenhagen (DIKU)
πŸ’Š Research focus: causal inference and representation learning applied to EHR data
🧠 Working on CORE-BEHRT β€” an end-to-end framework for modeling Electronic Health Records
πŸ” Developing Causal-CORE-BEHRT β€” causal extensions for scalable pharmacovigilance analyses
πŸ’¬ Interested in ML for healthcare


βš™οΈ Languages & Tools βš™οΈ



πŸ“Š GitHub Stats πŸ“Š


πŸ”¬ Featured Projects πŸ”¬

CORE-BEHRT
End-to-end framework for modeling Electronic Health Records

Stars Forks
Causal-CORE-BEHRT
Causal extensions for scalable pharmacovigilance analyses

Stars Forks
CausalEstimate
Causal inference estimation library

Stars Forks
CORE-BEHRT (Original)
Original CORE-BEHRT implementation

Stars Forks

πŸ”Ž Show More πŸ”


🐍 Contributions


✨ README inspired by zumrudu-anka β€” customized by Kiril Klein

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  1. FGA-DIKU/BONSAI FGA-DIKU/BONSAI Public

    A BERT-based framework for processing and analyzing Electronic Health Records (EHR) data. It provides an end-to-end pipeline for data preprocessing, model training, and clinical outcome prediction.

    Python 9 5

  2. mikkelfo/CORE-BEHRT mikkelfo/CORE-BEHRT Public

    Jupyter Notebook 19 3

  3. CausalEstimate CausalEstimate Public

    Tool to produce causal estimates from propensity scores.

    Python 2

  4. PHAIR_EHR PHAIR_EHR Public

    A fork of the EHR corebehrt repo for causal inference.

    Python 2 1

  5. FGA-DIKU/ehr2meds FGA-DIKU/ehr2meds Public

    Scripts for transforming raw EHR data into the structured MEDS format

    Python 2 2