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mandiehyewon/README.md

👋 Hi, I’m Hyewon Jeong! @mandiehyewon, a Ph.D. student at EECS/CSAIL/IMES MIT. My research interest is in Machine Learning for Healthcare, specifically focusing on leveraging time-series (tabular, signal datasets) and multi-modal datasets to build rich representations of real-world datasets.

If you have any cool ideas for collaboration or questions, please don't hesitate to get in touch with me here: hyewonj@mit.edu. Thanks!

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  1. mit-ccrg/EBCL mit-ccrg/EBCL Public

    Event-Based Contrastive Learning for Medical Time Series (MLHC 2024)

    Python 8

  2. ssldml ssldml Public

    Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals (MLHC 2023)

    Python 1 2

  3. AITRICS/EEG_real_time_seizure_detection AITRICS/EEG_real_time_seizure_detection Public

    Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)

    Python 84 32

  4. TPAMTL TPAMTL Public

    Official implementation of Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning (AAAI 2021).

    Python 4

  5. mmcdermott/MEDS_Tabular_AutoML mmcdermott/MEDS_Tabular_AutoML Public

    Limited automatic tabular ML pipelines for generic MEDS datasets.

    Python 12 4

  6. goodviews_ecg goodviews_ecg Public

    Finding "Good Views" of Electrocardiogram signals for Inferring Abnormalities in Cardiac Condition

    Python 4