Jacek Rumiński - Publications - Bridge of Knowledge

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Year 2024
  • Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
    Publication

    - Year 2024

    This paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...

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  • Detection of People Swimming in Water Reservoirs with the Use of Multimodal Imaging and Machine Learning
    Publication

    - Year 2024

    Every year in many countries, there are fatal unintentional drownings in different water reservoirs like swimming pools, lakes, seas, or oceans. The existing threats of this type require creating a method that could automatically supervise such places to increase the safety of bathers. This work aimed to create methods and prototype solutions for detecting people bathing in water reservoirs using a multimodal imaging system and...

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