Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Disease Evolution Analysis System
Design and Development of Information System Course Project, Wuhan University, 2017
- Built a clinical decision support system which demonstrates disease evolution patterns and drug usage details
- Processed data from MIMIC-III clinical database with Apache Spark and managed data with MySQL
- Employed Hidden Markov Model to model disease progression from sequences of clinical measurements and constructed a disease evolution network for visualization with Gephi
Entity Embedding in Medical Text Data
Cross-disciplinary Scholars in Science and Technology (CSST) project, Scalable Analytics Institute, University of California, Los Angeles, 2017
- Performed independent research on entity representation learning for the development of a medical case report query system, supervised by Prof. Yizhou Sun and Prof. Wei Wang
- Constructed graphs for annotated domain-specific entities in clinical case reports and implemented an unsupervised graph embedding method with node2vec for the graph representation of case reports
- Visualized result by projecting the 128-dimensional embedding of 2491 entities into 3D space using PCA
- Evaluated result by calculating cosine similarity between medical terms and corresponding abbreviations, which outperformed Google’s word2vec pre-trained word embedding