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Brritany/README.md

Welcome My Profile

visitors

πŸ‘‹ Hi there, I'm Yong Zhen Huang

Experienced Nurse & Master Student of Data Science | Specialized in Oncology, ICU, and Emergency Nursing | Passionate about Data Science, Data Analysis, Machine Learning, Deep Learning and NLP

πŸ‘©β€βš•οΈ Professional Background

I am an experienced Nurse currently working under the renowned National Taiwan University Hospital system. In addition to my clinical experience, I am concurrently enrolled in the Graduate lnstitute of Data Science program at Taipei Medical University, where I am combining my passion for healthcare and technology to drive patient outcomes.

My expertise in the nursing field spans across Oncology, Intensive Care Unit (ICU), and Emergency nursing, equipping me with comprehensive clinical skills and a deep understanding of patient care. I am particularly interested in employing advanced data techniques to further enhance healthcare practices.

While pursuing my studies in the Big Data program, I have developed robust capabilities in data processing, machine learning, deep learning, and natural language processing. I am continually seeking opportunities to apply these technical skills in healthcare, with the ultimate aim of improving patient care and advancing medical research.

As a healthcare professional, I believe in the power of blending traditional nursing with modern data technologies to pave the way for a more efficient and effective healthcare system. I am eager to connect with like-minded professionals and engage in enlightening discussions.

My skils

Computer Science

Property Data
Language / IDE Python Badge
Domain Knownledge Machine Learning Badge Computer Science Development Badge Software Development Badge
CI / CD Markdown Badge Github Badge Github Actions Badge
Databases MySQL SQL
Tools & Platform Google Colab
Machine Learning / Deep Learning frameworks Jupyter Notebook Scikit-learn PyTorch TensorFlow

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Medical

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πŸ“š Publications

Journal Articles

  • Yong-Zhen Huang, Yan-Ming Chen, Chih-Cheng Lin, Hsiao-Yean Chiu, Yung-Chun Chang (2024). Nursing notes-aware deep neural network for predicting mortality risk after hospital discharge. International Journal of Nursing Studies, 104797.
  • Yong-Zhen Huang, and Chiao-Chi Kuan (2022). Vaccination to reduce severe COVID-19 and mortality in COVID-19 patients: a systematic review and meta-analysis. European Review for Medical & Pharmacological Sciences, 26(5).

Conference Papers

  • Yong-Zhen Huang, Eugene Sy, Yi-Xuan Lin, Yu-Lun Hsieh and Yung-Chun Chang (2023). TMUNLP at the NTCIR-17 MedNLP-SC Task. Proceedings of the 17th NTCIR conference on evaluation of information access technologies.
  • Yong-Zhen Huang, and Chiao-Chi Kuan (2022). Evidence-Based to Use Incentive Spirometers for Prevention of Postoperative Pulmonary Complications. the 7th International Nursing Research Conference of World Academy of Nursing Science (7th WANS).

Popular repositories

  1. search_impact_factor search_impact_factor Public

    A package to query the impact factor database

    Python 8

  2. kappa-value kappa-value Public

    Implementation of agreement metrics such as Cohen kappa, Fleiss kappa

    Jupyter Notebook 1

  3. MLstatkit MLstatkit Public

    MLstatkit is a comprehensive Python library designed to seamlessly integrate established statistical methods into machine learning projects.

    Python 1

  4. Brritany Brritany Public

    my profile

  5. TestCode TestCode Public

    Python