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rrwabina/README.md

Hi there! I am ✨ Romen Samuel Wabina ✨, a PhD student in Data Science in Healthcare and Clinical Informatics.

  • 🔭 Part-time lecturer (Computational Statistics | Deep Learning | Computer Vision) in University of Science and Technology of the Philippines
  • 🔭 Data Scientist in the Department of Clinical Epidemiology and Biostatistics (main projects: CKD Data Warehouse, Feature Extraction using Large Language Models)
  • 🌱 Specialty: Computer Vision, Uncertainty Quantification, Optimization, and Dynamical Systems
  • 👀 Areas of Interest: Natural Language Processing, Reinforcement Learning, Bioinformatics, and Clinical Informatics
  • 📫 @rrwabina
  • ⚡ Fun fact: I am a deutan colorblind. I cannot distinguish red and green! Maybe this is the reason why I love computer vision.

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  1. SDENet-UQ-ESL SDENet-UQ-ESL Public

    SDENet as Uncertainty Quantification Method for EEG Source Localization

    Jupyter Notebook 7 1

  2. CNN-Nodule-Classification CNN-Nodule-Classification Public

    In this repository, we utilized Convolutional Neural Networks (CNN) to develop a binary classification model in detecting nodules in CT scans.

    Jupyter Notebook

  3. NLP-Medical-Specialty-Classification NLP-Medical-Specialty-Classification Public

    In this repository, we utilized BERT-based approaches to classify medical specialities using transcription data.

    Jupyter Notebook

  4. TableOCR TableOCR Public

    Forked from tomassosorio/OCR_tablenet

    TableNet Implementation via PyTorch

    Python

  5. CryptoView CryptoView Public

    Forked from ruke1ire/CryptoView

    Python

  6. CKD-Multi-State CKD-Multi-State Public

    The transition probabilities for 25 transitions from initial state to each intermediate and absorbing states were estimated using a Kaplan-Meier test through the wide-format datset. Transition prob…

    Jupyter Notebook