Buffalo Center for 
      Biomedical Computing
   
  BCBC Home
  BCBC Mission
  BCBC Activities
  BCBC Projects
    Projects
  2004-2005
  BCBC Seminars
  BCBC Symposia
  BCBC People
  BCBC Resources
  Useful Links
   

BCBC Development Projects for 2004-2005


  1. A New Framework for a Secure Federated Patient Healthcare System
      Project leader:
    • S. Upadhyaya
    • R. Sharman
    • H.R. Rao
    Designing a framework for a secure federated database system for healthcare is the focus of this project. The design involves merging heterogeneous hospital databases (Microsoft Access, AL, MUMPS, etc.) with predefined merge rules and conflict resolution algorithms. A unified medical ontology has been incorporated during the merge process to prevent semantic divergence. New access controls are defined at metadata level and record level to provide a finely grained role based access in the design. Additionally, scrubbing of patient's personal information with the aid of a medical dictionary prevents he disclosure of patient's personal information for researchers. A relational data management system in Microsoft Access is developed by merging three heterogeneous medical databases (MS Access, MS Excel and text file) as a proof-of-concept.

  2. Protecting Documents from Insider Threat – A Multiphase Approach
      Project leader:
    • S. Upadhyaya
    This project develops a comprehensive document control and management system through several innovative schemes for secure access, on-line monitoring and support for log-based forensics. The uniqueness of the approach is the security consideration throughout the life cycle of a document, viz., pre-document access phase, mid-document access phase and post-document access phase. We are applying the concept of user profiling, document profiling and role-based access control mechanisms to accomplish the goals. The expected outcomes of this research are: more accurate modeling and mitigation of insider threat (graph-based), protection against subversion/circumvention of the monitoring mechanism itself (structural knowledge) and post-attack trace-back for attack identification (forensics) as applicable to the realm of document control.

  3. HIPAA Compliant Medical Data Repository for Teaching
      Project leader:
    • R. Sharman
    • H.R. Rao
    • S. Upadhyaya
    This project has focused on developing, stripping and identifying information from PHI data obtained from the Children's Hospital, Buffalo, New York. The main objective of the project was to explore critical factors that lead to a creation of a data warehouse that doesn't contain personally identifying information from a number of sources. The goal was also to measure the quality of the data after the identifying information has been removed. The project provided insight on data format issues and its impact on performance.

  4. Delineating Genomic Mechanisms in Chronic Complex Diseases: Group 1.
      Project leader:
    • Murali Ramathanthan, PhD
      Collaborating investigator:
    • Aidong Zhang, PhD

  5. Delineating Genomic Mechanisms in Chronic Complex Diseases: Group 2.
      Project leader:
    • Maurizio Trevisan, MD
      Collaborating investigator:
    • Aidong Zhang, PhD

  6. Pharmacodynamic analysis of drug-responsive gene expression changes.
      Project leaders:
    • William J. Jusko, PhD
    • Richard R. Almon, PhD
      Collaborating investigators:
    • Debra Dubois, PhD

    New Projects:

  7. A Central Access Datawarehouse Spanning Multiple Disease Types.
      Project leader:
    • John Canty, MD
      Collaborating investigator:
    • Aidong Zhang, PhD

  8. Restriction and Alu/L1 Landmark Genomic Scanning (RALGS): A New Technology for Genome-wide Detection of Cancer-related Genomic Alterations.
      Project leader:
    • Ping Liang, PhD
      Collaborating investigators:
    • William Held, PhD
    • Aidong Zhang, PhD

  9. Bayesian Meta-Analysis of Heterogeneous Genomic Data through Hybrid Systems.
      Project leaders:
    • Yulan Liang, PhD
      Collaborating investigators:
    • Arpad Kelemen, PhD
    • Aidong Zhang, PhD

  10. Unsupervised application of pharmacodynamic (PD) computational models for mining gene expression data sets.
      Project leaders:
    • Robert Straubinger, PhD
      Collaborating investigators:
    • Debra Burhans, PhD
    • Wojciech Krzyzanski, PhD