Projects
Some research projects and course projects I have done.
Research Projects
🌟GraphPath: Learn the Evolution of Human Diseases    (Apr.2023 - Present)
Advisors: Prof. Tianxi Cai and Postdoc. Suqi Liu (DBMI, Harvard)
- Achieve nearly 90% accuracy in patient-level medication treatment prediction by integrating Graph Neural Networks (GNN) with medical knowledge graph and Long Short-Term Memory (LSTM) models
- Develop a comprehensive patient profile representation, offering significant potential for future applications
- Identify and categorize patients with varying patterns of disease progression using patient representations
- Collaborate intensively with clinicians to understand healthcare system and validate our research findings
🌟RAREMed: Enhancing Medication Recommendation for Rare Disease Patients   (Sep.2022 - Aug.2023)
Advisors: Prof. Fuli Feng and Prof. Xiangnan He (LDS, USTC)
- Addressed unfairness issues in medication recommendation, improving accuracy for patients with rare diseases
- Proposed a novel medication recommendation model named RAREMed that combines pre-training techniques
- Surpassed multiple leading methods, achieving a 3% performance enhancement on two real-world datasets
- Zhao, Z., Jing, Y., , Feng, F., Wu, J., & He, X. (under review). Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. Manuscript submitted to WWW'24.
Course Projects
🌟Fundamentals of Statistical Algorithm Course Project   (Jul. 2023)
Advisor: Prof. Jing Zeng from the Department of Statistics and Finance, USTC
- Investigated and compared various algorithms for latent variable inference in text data
- Tested the effectiveness of these algorithms using both synthetic and real-world datasets
- Wrote a research paper that encapsulates the project's key findings and implications
🌟Time Series Analysis Course Project   (Dec. 2022)
Advisor: Prof. Yu Chen from the Department of Statistics and Finance, USTC
- Collected daily data at USTC, including library admissions and package deliveries, for time series analysis
- Applied VAR and QAR models for predictive analysis and future trend forecasting
- Wrote a research paper documenting the methodologies and findings of the project
🌟Applied Statistical Software Course Project   (May 2022)
Advisor: Prof. Canhong Wen from the Department of Statistics and Finance, USTC
- Extracted data from the Douban website and a fictional site using web crawling techniques
- Conducted comprehensive data processing, visualization, and analysis
- Developed an interactive R Shiny website to display data visualization and analysis