Biography

Background

I am a third year Ph.D. student studying Computer Science at University of California, Riverside (UCR). I work in the Database Lab advised by

Google Scholar Profile

Some of my recent projects include:

• Mining doctor search portals for attributes of top doctors
• Studying the demographics of Social Media
• Learning predictors of a patient's future medical concepts using a database of electronic health records (EHRs), where each EHR is represented as a set of medical concepts discretized over time.
• Efficient query processing across a database of EHRs, where each EHR and the query are represented as set of medical concepts from the UMLS -- a compilation of several medical ontologies.
• Analyzing the content of online social networks in the context of healthcare. This includes general social networks such as Twitter, and specialized health social networks such as WebMD.
• MedNa -- a web application for recording clinical notes. This application does not require any downloads or installation and the GUI is simple (a single textbox). Important medical concepts -- as defined by the healthcare professional -- are processed and visualized in real-time. Potential benefits include less data-entry errors and an increased understanding of a patient's EHR by machines.

Over the summer of 2011, I completed a Master's thesis in Computer Science and received my M.S. degree. The thesis titled Machine Learning for Diabetes Decision Support was completed under the guidance of Professor Cindy Marling and Professor Razvan Bunescu. More details are provided on the Publications tab.

---

Education

• Ph.D. expected in Computer Science, University of California, Riverside, 2016
• M.S. in Computer Science, Ohio University, 2011
• B.S. in Computer Science, Ohio University, 2009

---

Research Interests

• Health Informatics
• Electronic Health Records
• Data Mining
• Machine Learning
• Information Retrieval
• Social Media

Publications

Conferences

• Efficient Concept-based Document Ranking
  Tasos Arvanitis, Matthew Wiley, Vagelis Hristidis
  International Conference on Extending Database Technology (EDBT 2014)
  [pdf]
  
  
• Automatic Detection of Excessive Glycemic Variablity for Diabetes Management
  Matthew Wiley, Razvan Bunescu, Cindy Marling, Jay Shubrook and Frank Schwartz
  Proceedings of the 10th International Conference on Machine Learning and Applications (ICMLA), Honolulu, Hawaii, December 2011
   [pdf] [Slides]
  
  
• The 4 Diasbetes Support System: A Case Study in CBR Research and Development
  Cindy Marling, Matthew Wiley, Tessa Cooper, Razvan Bunescu, Jay Shubrook and Frank Schwartz
  Proceedings of the 19th International Conference on Case-Based Reasoning (ICCBR) September, 2011
  
  
• Emerging Applications for Intelligent Diabetes Management
  Cindy Marling, Matthew Wiley, Razvan Bunescu, Jay Shubrook and Frank Schwartz
  Proceedings of the 23rd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI), San Francisco, CA, August 2011
  [pdf]
  

---

Journals

• Demographic-Based Content Analysis of Online Health-Related Social Media
  Sadah, S.A., Shahbazi, M., Wiley, M.T. & Hristidis, V.
  Journal of Medical Internet Research. 2016



• Provider Attributes Correlation Analysis to their Referral Frequency and Awards
  Wiley M.T., Rivas, R.L., & Hristidis, V.
  BMC health services research 16(1), 1. 2016



• A Study of the Demographics of Web-Based Health-Related Social Media Users
  Sadah, S.A., Shahbazi, M., Wiley, M.T. & Hristidis, V.
  Journal of Medical Internet Research, 17(8). 2015



• Pharmaceutical Drugs Chatter on Online Social Networks.
  Wiley, M.T., Jin, C., Hristidis, V. & Esterling, K.M.
  Journal of biomedical informatics, 45, 245-254. 2014
  [pdf]



• Emerging Applications for Intelligent Diabetes Management
  Cindy Marling, Matthew Wiley, Razvan Bunescu, Jay Shubrook, Frank Schwartz
  AI Magazine 33, no. 2 (2012): 67
  [pdf]
  
  
• Characterizing Blood Glucuose Variability Using New Metrics with Continuous Glucose Monitoring Data
  Cindy Marling, Jay Shubrook, Stan Vernier, Matthew Wiley and Frank Schwartz
  Journal of Diabetes Science and Technology July, 2011
  [Abstract]

---

Posters

• Automated Screen for Excessive Glycemic Variability using CGM Data
  Cindy Marling, Matthew Wiley, Razvan Bunescu, Jay Shubrook and Frank Schwartz
  Eleventh Annual Diabetes Technology Meeting, Diabetes Technology Society San Francisco, CA, October, 2011
  
  
• New Metrics for Glucose Variability Using CGM Data
  Cindy Marling, Jay Shubrook, Stan Vernier, Matthew Wiley and Frank Schwartz
  Tenth Annual Diabetes Technology Meeting, Diabetes Technology Society Bethesda, MD, October, 2010
  

---

Thesis

• Machine Learning for Diabetes Decision Support
  Matthew Wiley
  M.S. thesis, School of Computer Science and Eletrical Engineering, Ohio University, August, 2011
  [pdf]

  There are three main contributions to this thesis: (1) preprocessing noisy data, preparatory to applying machine learning algorithms; (2) enhancing the automated detection of glycemic variability, a serious problem for patients with diabetes; and (3) predicting patient blood glucose levels, in order to preemptively detect and avoid potential health problems.

  
  

Quotes

• "My interest is in the future because I am going to spend the rest of my life there" -- Chrales F. Kettering